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metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ENT20675", "ENT23433"], "valid_edges": [["THE RELIC", "REL2", "HORROR"], ["THE RELIC", "written_by", "ENT20675"], ["WITCHFINDER GENERAL", "directed_by", "ENT23433"], ["WITCHFINDER GENERAL", "REL2", "HORROR"], ["WITCHFINDER GENERAL", "written_by", "ENT23433"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["GREGG ARAKI", "TIM WHELAN"], "valid_edges": [["GIRL SHY", "directed_by", "FRED C. NEWMEYER"], ["GIRL SHY", "directed_by", "SAM TAYLOR"], ["GIRL SHY", "REL2", "COMEDY"], ["GIRL SHY", "REL5", "HAROLD LLOYD"], ["GIRL SHY", "REL5", "SAM TAYLOR"], ["GIRL SHY", "starred_actors", "HAROLD LLOYD"], ["GIRL SHY", "...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["CLÉ BENNETT", "JAMES MILLICAN"], "valid_edges": [["HOW SHE MOVE", "REL2", "DRAMA"], ["HOW SHE MOVE", "starred_actors", "CLÉ BENNETT"], ["I WAS A COMMUNIST FOR THE FBI", "REL2", "DRAMA"], ["I WAS A COMMUNIST FOR THE FBI", "starred_actors", "JAMES MILLICAN"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["BASED ON A TRUE STORY", "ENT17363"], "valid_edges": [["BUBBA HO-TEP", "REL2", "COMEDY"], ["BUBBA HO-TEP", "REL5", "COMEDY"], ["BUBBA HO-TEP", "written_by", "ENT17363"], ["ENT5423", "REL2", "COMEDY"], ["ENT5423", "REL5", "BASED ON A TRUE STORY"], ["ENT5423", "REL5", "TRUE STORY"], ["THE SAPPHIRES", "REL2"...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ALEX FROST", "THE CREMATOR"], "valid_edges": [["ENT135", "REL2", "DRAMA"], ["ENT427", "REL2", "DRAMA"], ["ENT427", "release_year", "ENT135"], ["ENT1064", "REL2", "DRAMA"], ["ENT1064", "release_year", "ENT135"], ["ALOIS NEBEL", "REL2", "DRAMA"], ["ALOIS NEBEL", "REL6", "CZECH"], ["ANNE OF THE THOUSAND DAY...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["MAYTIME", "THE MAD MAGICIAN"], "valid_edges": [["MAYTIME", "directed_by", "ENT29031"], ["MAYTIME", "REL5", "ENT29031"], ["THE BRIBE", "directed_by", "ENT29031"], ["THE BRIBE", "starred_actors", "VINCENT PRICE"], ["THE MAD MAGICIAN", "REL5", "VINCENT PRICE"], ["THE MAD MAGICIAN", "starred_actors", "VINCEN...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["DEMON WIND", "SHARKTOPUS"], "valid_edges": [["DEMON WIND", "release_year", "1990"], ["SHARKTOPUS", "starred_actors", "ERIC ROBERTS"], ["THE AMBULANCE", "release_year", "1990"], ["THE AMBULANCE", "starred_actors", "ERIC ROBERTS"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["FIRST MEN IN THE MOON", "THE ADVENTURES OF MARK TWAIN"], "valid_edges": [["FIRST MEN IN THE MOON", "release_year", "1964"], ["SEVEN DAYS IN MAY", "release_year", "1964"], ["SEVEN DAYS IN MAY", "starred_actors", "FREDRIC MARCH"], ["THE ADVENTURES OF MARK TWAIN", "starred_actors", "FREDRIC MARCH"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["DON'T MOVE", "ENT36330"], "valid_edges": [["DAYS AND CLOUDS", "REL6", "ENT15722"], ["DAYS AND CLOUDS", "release_year", "2007"], ["DON'T MOVE", "REL6", "ENT15722"], ["DON'T MOVE", "starred_actors", "ENT26590"], ["MARADONA, THE HAND OF GOD", "REL6", "ENT15722"], ["MARADONA, THE HAND OF GOD", "release_year"...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["MICHAEL HEGNER", "ENT37242"], "valid_edges": [["THE FLIGHT BEFORE CHRISTMAS", "directed_by", "MICHAEL HEGNER"], ["THE FLIGHT BEFORE CHRISTMAS", "REL2", "ENT2321"], ["UP", "REL2", "ENT2321"], ["UP", "REL5", "ENT2321"], ["UP", "REL5", "ENT37242"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ENT5598", "ENT9731"], "valid_edges": [["ENT5598", "starred_actors", "DANIEL BRÜHL"], ["ENT9731", "REL5", "SPORTS"], ["RUSH", "REL5", "SPORTS"], ["RUSH", "starred_actors", "DANIEL BRÜHL"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["CAMERON HAWLEY", "DRIVEN"], "valid_edges": [["25 WATTS", "REL2", "DRAMA"], ["25 WATTS", "release_year", "2001"], ["61*", "REL2", "DRAMA"], ["61*", "release_year", "2001"], ["A BEAUTIFUL MIND", "REL2", "DRAMA"], ["A BEAUTIFUL MIND", "REL5", "DRAMA"], ["A BEAUTIFUL MIND", "release_year", "2001"], ["A MOST ...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ENT19952", "VANESSA ANGEL"], "valid_edges": [["KINGPIN", "REL2", "COMEDY"], ["KINGPIN", "REL5", "COMEDY"], ["KINGPIN", "starred_actors", "VANESSA ANGEL"], ["LABOR PAINS", "directed_by", "ENT19952"], ["LABOR PAINS", "REL2", "COMEDY"], ["LABOR PAINS", "written_by", "ENT19952"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["CIRCLE OF FRIENDS", "ENT34661"], "valid_edges": [["CIRCLE OF FRIENDS", "REL5", "ENT15571"], ["CIRCLE OF FRIENDS", "release_year", "1995"], ["ENT25394", "REL6", "ENT15571"], ["ENT25394", "release_year", "1995"], ["THE BROTHERS MCMULLEN", "REL5", "ENT15571"], ["THE BROTHERS MCMULLEN", "release_year", "1995...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["THE RUINS", "ENT38147"], "valid_edges": [["ENT14448", "release_year", "2008"], ["ENT14448", "starred_actors", "RAY LIOTTA"], ["THE RUINS", "release_year", "2008"], ["ENT38147", "starred_actors", "RAY LIOTTA"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["CHARLES GEORGE HILDEBRANDT", "TOM HULCE"], "valid_edges": [["THE DEADLY SPAWN", "REL2", "HORROR"], ["THE DEADLY SPAWN", "starred_actors", "CHARLES GEORGE HILDEBRANDT"], ["THE HUNCHBACK OF NOTRE DAME", "REL2", "HORROR"], ["THE HUNCHBACK OF NOTRE DAME", "starred_actors", "TOM HULCE"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["DANIEL ROBY", "TIME BANDITS"], "valid_edges": [["1981", "REL2", "DRAMA"], ["EXCALIBUR", "REL2", "ENT11253"], ["EXCALIBUR", "release_year", "1981"], ["LOUIS CYR", "directed_by", "DANIEL ROBY"], ["LOUIS CYR", "REL2", "DRAMA"], ["PRINCESS MONONOKE", "REL2", "ADVENTURE"], ["PRINCESS MONONOKE", "REL2", "ENT11...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["JIM HARRISON", "JOHN MCMAHON"], "valid_edges": [["ENT5091", "REL2", "DRAMA"], ["ENT5091", "written_by", "JOHN MCMAHON"], ["LEGENDS OF THE FALL", "REL2", "DRAMA"], ["LEGENDS OF THE FALL", "written_by", "JIM HARRISON"], ["ENT28209", "REL2", "DRAMA"], ["ENT28209", "REL5", "ENT28209"], ["ENT28209", "written_...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["AAJA NACHLE", "DREAMS"], "valid_edges": [["AAJA NACHLE", "release_year", "2007"], ["ENT4810", "REL5", "DREAMS"], ["CITY OF MEN", "REL5", "ENT4810"], ["CITY OF MEN", "release_year", "2007"], ["DARLING", "REL6", "SWEDISH"], ["DARLING", "release_year", "2007"], ["DREAMS", "REL5", "DREAMS"], ["DREAMS", "REL6...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["HANNAH AND HER SISTERS", "PIERRE ÉTAIX"], "valid_edges": [["HANNAH AND HER SISTERS", "REL2", "COMEDY"], ["HANNAH AND HER SISTERS", "REL5", "COMEDY"], ["THE SUITOR", "directed_by", "PIERRE ÉTAIX"], ["THE SUITOR", "REL2", "COMEDY"], ["THE SUITOR", "REL5", "PIERRE ÉTAIX"], ["THE SUITOR", "starred_actors", "...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ENT637", "BYZANTIUM"], "valid_edges": [["ENT637", "release_year", "2003"], ["BYZANTIUM", "REL5", "VAMPIRES"], ["UNDERWORLD", "REL5", "VAMPIRES"], ["UNDERWORLD", "release_year", "2003"], ["VAMPIRES", "REL5", "VAMPIRES"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["JANE GOLDMAN", "SUZANNE KAAREN"], "valid_edges": [["THE DEVIL BAT", "REL2", "HORROR"], ["THE DEVIL BAT", "starred_actors", "SUZANNE KAAREN"], ["THE WOMAN IN BLACK", "REL2", "HORROR"], ["THE WOMAN IN BLACK", "REL5", "HORROR"], ["THE WOMAN IN BLACK", "written_by", "JANE GOLDMAN"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["FACES OF DEATH IV", "MICHAEL CARR"], "valid_edges": [["ENT11177", "directed_by", "JOHN ALAN SCHWARTZ"], ["ENT11177", "starred_actors", "MICHAEL CARR"], ["ENT11177", "written_by", "JOHN ALAN SCHWARTZ"], ["FACES OF DEATH IV", "directed_by", "JOHN ALAN SCHWARTZ"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["300 MILES TO HEAVEN", "TARZAN, THE APE MAN"], "valid_edges": [["300 MILES TO HEAVEN", "REL6", "ENT27227"], ["ENT21693", "REL6", "ENT27227"], ["ENT21693", "release_year", "1981"], ["TARZAN, THE APE MAN", "release_year", "1981"], ["VABANK", "REL6", "ENT27227"], ["VABANK", "release_year", "1981"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ADAR BECK", "ENT13497"], "valid_edges": [["BOOT CAMP", "REL2", "THRILLER"], ["BOOT CAMP", "starred_actors", "ENT13497"], ["EXAM", "REL2", "THRILLER"], ["EXAM", "starred_actors", "ADAR BECK"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["CAPTAIN PHILLIPS", "JOÃO PEDRO RODRIGUES"], "valid_edges": [["CAPTAIN PHILLIPS", "REL5", "ENT14743"], ["ENT14743", "release_year", "ENT190"], ["ENT37965", "directed_by", "JOÃO PEDRO RODRIGUES"], ["ENT37965", "release_year", "ENT190"], ["ENT37965", "written_by", "JOÃO PEDRO RODRIGUES"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["CHILD BRIDE", "ENT26518"], "valid_edges": [["CHILD BRIDE", "release_year", "1938"], ["I AM THE LAW", "REL2", "CRIME"], ["I AM THE LAW", "release_year", "1938"], ["ENT26518", "REL2", "CRIME"], ["THE AMAZING DR. CLITTERHOUSE", "REL2", "CRIME"], ["THE AMAZING DR. CLITTERHOUSE", "release_year", "1938"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["SEMI-TOUGH", "ENT33982"], "valid_edges": [["ENT3093", "directed_by", "ROBERT WISE"], ["ENT3093", "release_year", "1977"], ["SEMI-TOUGH", "release_year", "1977"], ["ENT33982", "directed_by", "ROBERT WISE"], ["ENT33982", "REL5", "ROBERT WISE"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["KENNETH VANBAEDEN", "ENT23497"], "valid_edges": [["ENT27372", "directed_by", "ENT23497"], ["ENT27372", "REL2", "COMEDY"], ["ENT27372", "written_by", "ENT23497"], ["THE MISFORTUNATES", "REL2", "COMEDY"], ["THE MISFORTUNATES", "starred_actors", "KENNETH VANBAEDEN"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["TOM BRADY", "WEST IS WEST"], "valid_edges": [["ENT33834", "directed_by", "TOM BRADY"], ["ENT33834", "REL2", "COMEDY"], ["ENT34693", "directed_by", "TOM BRADY"], ["ENT34693", "REL2", "COMEDY"], ["ENT34693", "REL5", "COMEDY"], ["ENT34693", "written_by", "TOM BRADY"], ["WEST IS WEST", "REL2", "COMEDY"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["NANCY GOES TO RIO", "ENT36177"], "valid_edges": [["AASHIQUI 2", "REL2", "MUSICAL"], ["AASHIQUI 2", "release_year", "2013"], ["AMEN", "REL2", "MUSICAL"], ["AMEN", "release_year", "2013"], ["BLACK NATIVITY", "REL2", "MUSICAL"], ["BLACK NATIVITY", "release_year", "2013"], ["FROZEN", "REL5", "MUSICAL"], ["FR...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["SINCE YOU WENT AWAY", "TRIUMPH OF THE WILL"], "valid_edges": [["SINCE YOU WENT AWAY", "release_year", "1944"], ["THE BATTLE OF CHINA", "REL5", "HISTORY"], ["THE BATTLE OF CHINA", "REL5", "PROPAGANDA"], ["THE BATTLE OF CHINA", "release_year", "1944"], ["TRIUMPH OF THE WILL", "REL5", "HISTORY"], ["TRIUMPH ...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ENT21278", "STEVEN VIDLER"], "valid_edges": [["ENT4324", "directed_by", "STEVEN VIDLER"], ["ENT4324", "REL5", "AUSTRALIA"], ["CASTAWAY", "REL5", "AUSTRALIA"], ["CASTAWAY", "written_by", "ENT21278"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["NEIL MARSHALL", "UNIVERSAL"], "valid_edges": [["DOG SOLDIERS", "directed_by", "NEIL MARSHALL"], ["DOG SOLDIERS", "REL2", "HORROR"], ["DOG SOLDIERS", "REL5", "HORROR"], ["DOG SOLDIERS", "written_by", "NEIL MARSHALL"], ["HOUSE OF DRACULA", "REL2", "HORROR"], ["HOUSE OF DRACULA", "REL5", "UNIVERSAL"], ["HOU...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ENT11762", "ENT23413"], "valid_edges": [["THE CAT AND THE CANARY", "REL2", "HORROR"], ["THE CAT AND THE CANARY", "starred_actors", "ENT11762"], ["TUSK", "REL2", "HORROR"], ["TUSK", "REL5", "HORROR"], ["TUSK", "starred_actors", "ENT23413"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["BRIAN BLESSED", "ENT33666"], "valid_edges": [["ENT2961", "REL2", "COMEDY"], ["ENT2961", "starred_actors", "BRIAN BLESSED"], ["ENT33666", "REL2", "COMEDY"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["DAVID MORRISSEY", "PUZZLEHEAD"], "valid_edges": [["PUZZLEHEAD", "release_year", "ENT190"], ["THE DEAL", "release_year", "ENT190"], ["THE DEAL", "starred_actors", "DAVID MORRISSEY"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["LEONOR VARELA", "NINA ARIANDA"], "valid_edges": [["ENT1894", "REL2", "DRAMA"], ["ENT1894", "starred_actors", "LEONOR VARELA"], ["ROB THE MOB", "REL2", "DRAMA"], ["ROB THE MOB", "starred_actors", "NINA ARIANDA"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ENT12746", "THE LAST WAGON"], "valid_edges": [["THE LAST WAGON", "REL2", "ENT39031"], ["TWILIGHT OF THE ICE NYMPHS", "release_year", "1997"], ["TWILIGHT OF THE ICE NYMPHS", "written_by", "ENT12746"], ["ENT39031", "release_year", "1997"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ENT13654", "RUPERT FRIEND"], "valid_edges": [["CHÉRI", "REL2", "DRAMA"], ["CHÉRI", "REL5", "RUPERT FRIEND"], ["CHÉRI", "release_year", "2009"], ["CHÉRI", "starred_actors", "RUPERT FRIEND"], ["ENT24273", "REL2", "DRAMA"], ["ENT24273", "starred_actors", "RUPERT FRIEND"], ["OUTLAW", "REL2", "DRAMA"], ["OUTL...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ENT17587", "ENT39545"], "valid_edges": [["ENT623", "directed_by", "ENT17587"], ["ENT623", "REL5", "NATIONAL FILM REGISTRY"], ["RED DUST", "REL5", "NATIONAL FILM REGISTRY"], ["RED DUST", "written_by", "ENT39545"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ENT583", "MIDNIGHT EXPRESS"], "valid_edges": [["ENT583", "release_year", "2007"], ["HALLOWEEN", "release_year", "1978"], ["HALLOWEEN", "release_year", "2007"], ["MIDNIGHT EXPRESS", "release_year", "1978"], ["MOLIÈRE", "release_year", "1978"], ["MOLIÈRE", "release_year", "2007"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["BAD JOHNSON", "LÉOLO"], "valid_edges": [["3 NINJAS", "REL2", "COMEDY"], ["3 NINJAS", "release_year", "1992"], ["A LEAGUE OF THEIR OWN", "REL2", "COMEDY"], ["A LEAGUE OF THEIR OWN", "release_year", "1992"], ["ENT2823", "REL2", "COMEDY"], ["ENT2823", "REL5", "COMEDY"], ["ENT2823", "release_year", "1992"], ...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["INTO THE NIGHT", "THE POKER CLUB"], "valid_edges": [["ENT911", "release_year", "2008"], ["ENT911", "starred_actors", "ENT16717"], ["DAY OF THE DEAD", "release_year", "1985"], ["DAY OF THE DEAD", "release_year", "2008"], ["INTO THE NIGHT", "release_year", "1985"], ["INTO THE NIGHT", "starred_actors", "ENT...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ARK OF THE COVENANT", "ENT35694"], "valid_edges": [["CONAN THE BARBARIAN", "REL2", "ADVENTURE"], ["CONAN THE BARBARIAN", "REL5", "ADVENTURE"], ["CONAN THE BARBARIAN", "release_year", "ENT150"], ["IVANHOE", "REL2", "ADVENTURE"], ["IVANHOE", "release_year", "ENT150"], ["MOTHER LODE", "REL2", "ADVENTURE"], ...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["CAMERA OBSCURA", "DOCTOR WHO"], "valid_edges": [["CAMERA OBSCURA", "release_year", "2000"], ["DOCTOR WHO", "REL5", "DOCTOR WHO"], ["DOCTOR WHO", "release_year", "1996"], ["HAMLET", "release_year", "1996"], ["HAMLET", "release_year", "2000"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ARTYOM STRELNIKOV", "STELLAN SKARSGÅRD"], "valid_edges": [["ABERDEEN", "release_year", "2000"], ["ABERDEEN", "starred_actors", "STELLAN SKARSGÅRD"], ["LAST RESORT", "release_year", "2000"], ["LAST RESORT", "starred_actors", "ARTYOM STRELNIKOV"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["CLASSE TOUS RISQUES", "ENT8898"], "valid_edges": [["1981", "REL6", "FRENCH"], ["BLOW OUT", "release_year", "1981"], ["BLOW OUT", "starred_actors", "ENT8898"], ["CLASSE TOUS RISQUES", "REL6", "FRENCH"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["JUAREZ", "KRISTIINA HALKOLA"], "valid_edges": [["ENT2491", "directed_by", "JOHN HUSTON"], ["ENT2491", "REL2", "DRAMA"], ["ENT2491", "REL5", "JOHN HUSTON"], ["BLACK ON WHITE", "REL2", "DRAMA"], ["BLACK ON WHITE", "starred_actors", "KRISTIINA HALKOLA"], ["BLIND ALLEY", "REL2", "DRAMA"], ["BLIND ALLEY", "re...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["BENGAL", "JOHN MCDONOUGH"], "valid_edges": [["ACROSS THE SEA OF TIME", "REL2", "FAMILY"], ["ACROSS THE SEA OF TIME", "starred_actors", "JOHN MCDONOUGH"], ["PATHER PANCHALI", "REL5", "BENGAL"], ["PATHER PANCHALI", "REL5", "FAMILY"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ANDREW MATTHEWS", "EDWARD CHILDS CARPENTER"], "valid_edges": [["ENT35220", "REL2", "COMEDY"], ["ENT35220", "REL5", "BD-R"], ["ENT35220", "written_by", "EDWARD CHILDS CARPENTER"], ["ENT39151", "REL2", "COMEDY"], ["ENT39151", "REL5", "BD-R"], ["ENT39151", "written_by", "EDWARD CHILDS CARPENTER"], ["ZERO CH...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["CITY ON FIRE", "DIRECTION"], "valid_edges": [["ALIEN", "REL5", "ALIEN"], ["ALIEN", "REL5", "DIRECTION"], ["CITY ON FIRE", "release_year", "1987"], ["PREDATOR", "REL5", "ALIEN"], ["PREDATOR", "release_year", "1987"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["10 MPH", "VANYA ON 42ND STREET"], "valid_edges": [["10 MPH", "REL2", "ENT9307"], ["A GREAT DAY IN HARLEM", "REL2", "ENT9307"], ["A GREAT DAY IN HARLEM", "release_year", "1994"], ["HOOP DREAMS", "REL2", "ENT9307"], ["HOOP DREAMS", "REL5", "ENT9307"], ["HOOP DREAMS", "release_year", "1994"], ["ENT33196", "...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ADOLFO CELI", "STEVE DITKO"], "valid_edges": [["ENT31578", "REL2", "ACTION"], ["ENT31578", "REL5", "ACTION"], ["ENT31578", "written_by", "STEVE DITKO"], ["THE NEXT MAN", "REL2", "ACTION"], ["THE NEXT MAN", "starred_actors", "ADOLFO CELI"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["THE NAKED PREY", "THE TALL BLOND MAN WITH ONE BLACK SHOE"], "valid_edges": [["ENT1010", "REL2", "ADVENTURE"], ["ENT1010", "REL6", "ENT10611"], ["ENT1084", "REL2", "ADVENTURE"], ["ENT1084", "REL5", "ADVENTURE"], ["ENT1084", "release_year", "1972"], ["ALICE IN WONDERLAND", "REL2", "ADVENTURE"], ["ALICE IN ...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ENT15563", "NATIONAL FILM REGISTRY"], "valid_edges": [["ENT1861", "REL5", "NATIONAL FILM REGISTRY"], ["ENT1861", "starred_actors", "RICHARD DREYFUSS"], ["CLOSE ENCOUNTERS OF THE THIRD KIND", "REL5", "NATIONAL FILM REGISTRY"], ["CLOSE ENCOUNTERS OF THE THIRD KIND", "REL5", "ENT31582"], ["CLOSE ENCOUNTERS ...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ENT34536", "ENT38493"], "valid_edges": [["A HISTORY OF VIOLENCE", "release_year", "ENT190"], ["A HISTORY OF VIOLENCE", "written_by", "ENT38493"], ["ENT1548", "REL2", "ENT11253"], ["ENT1548", "release_year", "ENT190"], ["ANGEL-A", "REL2", "ENT11253"], ["ANGEL-A", "release_year", "ENT190"], ["BEWITCHED", "...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ENT23751", "THE FANTASTICKS"], "valid_edges": [["BELIEVE ME", "REL2", "COMEDY"], ["BELIEVE ME", "REL2", "DRAMA"], ["BELIEVE ME", "starred_actors", "ENT23751"], ["BILLY ROSE'S JUMBO", "REL2", "MUSICAL"], ["BILLY ROSE'S JUMBO", "REL2", "ROMANCE"], ["ENT9177", "REL2", "MUSICAL"], ["ENT9177", "release_year",...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["HIGH TENSION", "ENT23393"], "valid_edges": [["HIGH TENSION", "REL5", "ENT33041"], ["REPORT TO THE COMMISSIONER", "REL2", "CRIME"], ["REPORT TO THE COMMISSIONER", "starred_actors", "ENT23393"], ["ENT33041", "REL2", "CRIME"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["STEVE LEMME", "ENT40044"], "valid_edges": [["GOOD BOY!", "REL2", "COMEDY"], ["GOOD BOY!", "written_by", "ENT40044"], ["SUPER TROOPERS", "REL2", "COMEDY"], ["SUPER TROOPERS", "REL5", "COMEDY"], ["SUPER TROOPERS", "written_by", "STEVE LEMME"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["JAB WE MET", "MICHAEL WELCH"], "valid_edges": [["ALL THE BOYS LOVE MANDY LANE", "REL2", "HORROR"], ["ALL THE BOYS LOVE MANDY LANE", "REL5", "HORROR"], ["ALL THE BOYS LOVE MANDY LANE", "starred_actors", "MICHAEL WELCH"], ["JAB WE MET", "REL5", "TRAIN"], ["TRAIN", "REL2", "HORROR"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ENT31576", "THE THIN BLUE LINE"], "valid_edges": [["A SHORT FILM ABOUT KILLING", "REL5", "SHORT"], ["A SHORT FILM ABOUT KILLING", "release_year", "1988"], ["ENT8625", "directed_by", "DAVID CRONENBERG"], ["ENT8625", "REL5", "DAVID CRONENBERG"], ["ENT8625", "release_year", "1988"], ["ENT8625", "written_by"...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ENT3101", "BRYAN SINGER"], "valid_edges": [["IRON WILL", "starred_actors", "ENT3101"], ["IRON WILL", "starred_actors", "KEVIN SPACEY"], ["ENT32428", "directed_by", "BRYAN SINGER"], ["ENT32428", "REL5", "BRYAN SINGER"], ["ENT32428", "REL5", "KEVIN SPACEY"], ["ENT32428", "starred_actors", "KEVIN SPACEY"], ...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["NATURI NAUGHTON", "SERIOUS MOONLIGHT"], "valid_edges": [["LOTTERY TICKET", "REL2", "COMEDY"], ["LOTTERY TICKET", "starred_actors", "NATURI NAUGHTON"], ["SERIOUS MOONLIGHT", "REL2", "COMEDY"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["LOVE AND PAIN AND THE WHOLE DAMN THING", "ENT23579"], "valid_edges": [["LOVE AND PAIN AND THE WHOLE DAMN THING", "starred_actors", "MAGGIE SMITH"], ["OTHELLO", "starred_actors", "MAGGIE SMITH"], ["OTHELLO", "starred_actors", "ENT23579"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ROBERT MITCHUM", "ENT33001"], "valid_edges": [["ENT2676", "REL2", "WAR"], ["ENT2676", "REL6", "GERMAN"], ["ENT2676", "starred_actors", "ROBERT MITCHUM"], ["ENT33001", "release_year", "2007"], ["THE ENEMY BELOW", "REL5", "WAR"], ["THE ENEMY BELOW", "REL5", "WORLD WAR II"], ["THE ENEMY BELOW", "starred_act...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ENT7845", "DANGEROUS GROUND"], "valid_edges": [["ANACONDA", "release_year", "1997"], ["ANACONDA", "starred_actors", "ICE CUBE"], ["ENT7845", "release_year", "1998"], ["DANGEROUS GROUND", "release_year", "1997"], ["DANGEROUS GROUND", "starred_actors", "ICE CUBE"], ["JACK FROST", "release_year", "1997"], [...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ENT27830", "ENT32162"], "valid_edges": [["PARANORMAN", "REL2", "COMEDY"], ["PARANORMAN", "REL5", "ENT32162"], ["THE BOXTROLLS", "REL2", "COMEDY"], ["THE BOXTROLLS", "REL5", "ENT32162"], ["ENT40125", "REL2", "COMEDY"], ["ENT40125", "REL5", "COMEDY"], ["ENT40125", "written_by", "ENT27830"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["THE TORTURED", "WHAT HAPPENS IN VEGAS"], "valid_edges": [["ENT19407", "REL5", "ASHTON KUTCHER"], ["ENT19407", "release_year", "2010"], ["ENT19407", "starred_actors", "ASHTON KUTCHER"], ["KNIGHT AND DAY", "REL5", "CAMERON DIAZ"], ["KNIGHT AND DAY", "release_year", "2010"], ["KNIGHT AND DAY", "starred_acto...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["KEN MARSHALL", "RYAN REYNOLDS"], "valid_edges": [["ENT19695", "REL2", "ENT11253"], ["ENT19695", "REL5", "ENT11253"], ["ENT19695", "starred_actors", "KEN MARSHALL"], ["ENT35505", "REL2", "ENT11253"], ["ENT35505", "REL5", "RYAN REYNOLDS"], ["ENT35505", "starred_actors", "RYAN REYNOLDS"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["SERGEANT YORK", "ENT36835"], "valid_edges": [["ENT613", "directed_by", "HOWARD HAWKS"], ["ENT613", "REL5", "HOWARD HAWKS"], ["ENT613", "release_year", "1948"], ["KEY LARGO", "directed_by", "JOHN HUSTON"], ["KEY LARGO", "REL5", "JOHN HUSTON"], ["KEY LARGO", "release_year", "1948"], ["KEY LARGO", "written_...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ALEKSI BARDY", "ENT30718"], "valid_edges": [["BLOOD OF REDEMPTION", "directed_by", "ENT30718"], ["BLOOD OF REDEMPTION", "REL2", "DRAMA"], ["BLOOD OF REDEMPTION", "written_by", "ENT30718"], ["RESTLESS", "REL2", "DRAMA"], ["RESTLESS", "written_by", "ALEKSI BARDY"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["LEO GENN", "VICTOR FRANCEN"], "valid_edges": [["HOLD BACK THE DAWN", "starred_actors", "ENT25581"], ["HOLD BACK THE DAWN", "starred_actors", "VICTOR FRANCEN"], ["ENT36139", "REL5", "ENT25581"], ["ENT36139", "starred_actors", "LEO GENN"], ["ENT36139", "starred_actors", "ENT25581"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ENT24510", "ENT33450"], "valid_edges": [["ENT24510", "directed_by", "MICHAEL CURTIZ"], ["ENT24510", "REL5", "MICHAEL CURTIZ"], ["THE ADVENTURES OF HUCKLEBERRY FINN", "directed_by", "MICHAEL CURTIZ"], ["THE ADVENTURES OF HUCKLEBERRY FINN", "release_year", "ENT125"], ["ENT33450", "release_year", "ENT125"]]...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ANOUK AIMÉE", "ENT37664"], "valid_edges": [["2010", "REL5", "BD-R"], ["ENT20911", "directed_by", "JACQUES DEMY"], ["ENT20911", "REL5", "BD-R"], ["ENT20911", "REL5", "JACQUES DEMY"], ["ENT20911", "starred_actors", "ANOUK AIMÉE"], ["ENT20911", "written_by", "JACQUES DEMY"], ["ENT23962", "directed_by", "JAC...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["EYES WIDE OPEN", "KILLER KLOWNS FROM OUTER SPACE"], "valid_edges": [["EYES WIDE OPEN", "REL6", "GERMAN"], ["HANUSSEN", "REL6", "GERMAN"], ["HANUSSEN", "release_year", "1988"], ["KILLER KLOWNS FROM OUTER SPACE", "release_year", "1988"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["DYLAN KIDD", "NIAGARA MOTEL"], "valid_edges": [["NIAGARA MOTEL", "REL2", "DRAMA"], ["P.S.", "directed_by", "DYLAN KIDD"], ["P.S.", "REL2", "DRAMA"], ["P.S.", "written_by", "DYLAN KIDD"], ["ROGER DODGER", "directed_by", "DYLAN KIDD"], ["ROGER DODGER", "REL2", "DRAMA"], ["ROGER DODGER", "written_by", "DYLA...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["AMY LOCANE", "RUDOLF LUCIEER"], "valid_edges": [["ENT4614", "REL2", "COMEDY"], ["ENT4614", "starred_actors", "AMY LOCANE"], ["ENT7588", "REL2", "COMEDY"], ["ENT7588", "starred_actors", "AMY LOCANE"], ["THE NORTHERNERS", "REL2", "COMEDY"], ["THE NORTHERNERS", "starred_actors", "RUDOLF LUCIEER"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ENT8392", "ROAD TO RIO"], "valid_edges": [["A TOUCH OF CLASS", "REL2", "COMEDY"], ["A TOUCH OF CLASS", "written_by", "JACK ROSE"], ["AN IDEAL HUSBAND", "REL2", "COMEDY"], ["AN IDEAL HUSBAND", "REL5", "COMEDY"], ["AN IDEAL HUSBAND", "release_year", "1947"], ["BACHELOR IN PARADISE", "REL2", "COMEDY"], ["BA...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["DOM HEMINGWAY", "EUGÈNE CORMON"], "valid_edges": [["DOM HEMINGWAY", "REL2", "DRAMA"], ["ORPHANS OF THE STORM", "REL2", "DRAMA"], ["ORPHANS OF THE STORM", "written_by", "EUGÈNE CORMON"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ASHLEY RICKARDS", "KRISTIN GRIFFITH"], "valid_edges": [["ENT11664", "REL2", "DRAMA"], ["ENT11664", "starred_actors", "ASHLEY RICKARDS"], ["INTERIORS", "REL2", "DRAMA"], ["INTERIORS", "starred_actors", "KRISTIN GRIFFITH"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ENT190", "RICHARD ARMITAGE"], "valid_edges": [["INTO THE STORM", "REL5", "RICHARD ARMITAGE"], ["INTO THE STORM", "REL5", "WORLD WAR II"], ["INTO THE STORM", "starred_actors", "RICHARD ARMITAGE"], ["ENT29760", "REL5", "WORLD WAR II"], ["ENT29760", "release_year", "ENT190"], ["THE GREAT RAID", "REL5", "WOR...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["CHOREOGRAPHY", "ENT9709"], "valid_edges": [["ENT9709", "REL5", "BD-R"], ["ENT29266", "REL5", "BD-R"], ["WEST SIDE STORY", "REL5", "CHOREOGRAPHY"], ["WEST SIDE STORY", "REL5", "ENT29266"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["BARRY LEVINSON", "NAT WACHSBERGER"], "valid_edges": [["STARCRASH", "REL2", "ADVENTURE"], ["STARCRASH", "written_by", "NAT WACHSBERGER"], ["ENT39908", "directed_by", "BARRY LEVINSON"], ["ENT39908", "REL2", "ADVENTURE"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["IRMA LA DOUCE", "TERENCE WINTER"], "valid_edges": [["IRMA LA DOUCE", "REL2", "COMEDY"], ["THE WOLF OF WALL STREET", "REL2", "COMEDY"], ["THE WOLF OF WALL STREET", "written_by", "TERENCE WINTER"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ENT11205", "JOE THE KING"], "valid_edges": [["10 THINGS I HATE ABOUT YOU", "REL2", "COMEDY"], ["10 THINGS I HATE ABOUT YOU", "REL5", "COMEDY"], ["10 THINGS I HATE ABOUT YOU", "release_year", "1999"], ["200 CIGARETTES", "REL2", "COMEDY"], ["200 CIGARETTES", "release_year", "1999"], ["A CHRISTMAS CAROL", "...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["THAT TOUCH OF MINK", "THE UNDEAD"], "valid_edges": [["ENT32783", "directed_by", "ROGER CORMAN"], ["ENT32783", "release_year", "ENT128"], ["THAT TOUCH OF MINK", "release_year", "ENT128"], ["THE INTRUDER", "directed_by", "ROGER CORMAN"], ["THE INTRUDER", "REL5", "ROGER CORMAN"], ["THE INTRUDER", "release_y...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["SPIKE FERESTEN", "ENT38519"], "valid_edges": [["A TOWN CALLED PANIC", "directed_by", "ENT38519"], ["A TOWN CALLED PANIC", "REL2", "ENT2321"], ["A TOWN CALLED PANIC", "written_by", "ENT38519"], ["BEE MOVIE", "REL2", "ENT2321"], ["BEE MOVIE", "written_by", "SPIKE FERESTEN"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ENT10545", "ENT11065"], "valid_edges": [["ENT11065", "REL2", "DRAMA"], ["THE PERKS OF BEING A WALLFLOWER", "REL2", "DRAMA"], ["THE PERKS OF BEING A WALLFLOWER", "REL5", "DRAMA"], ["THE PERKS OF BEING A WALLFLOWER", "REL5", "ENT10545"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["SANGEETH SIVAN", "THE LAST REMAKE OF BEAU GESTE"], "valid_edges": [["ENT337", "REL2", "ADVENTURE"], ["ENT337", "REL2", "COMEDY"], ["ENT337", "REL5", "COMEDY"], ["A CHRISTMAS CAROL", "REL2", "COMEDY"], ["A CHRISTMAS CAROL", "starred_actors", "MICHAEL YORK"], ["A PIECE OF THE ACTION", "REL2", "COMEDY"], ["...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["BRADLEY WHITFORD", "ENT24467"], "valid_edges": [["ENT4198", "REL2", "COMEDY"], ["ENT4198", "REL5", "COMEDY"], ["ENT4198", "starred_actors", "BRADLEY WHITFORD"], ["ENT24467", "REL2", "COMEDY"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["CHANTAL AKERMAN", "PRINCESSE TAM-TAM"], "valid_edges": [["A COUCH IN NEW YORK", "directed_by", "CHANTAL AKERMAN"], ["A COUCH IN NEW YORK", "REL6", "FRENCH"], ["A COUCH IN NEW YORK", "written_by", "CHANTAL AKERMAN"], ["CARNIVAL IN FLANDERS", "REL6", "FRENCH"], ["CARNIVAL IN FLANDERS", "release_year", "193...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["1952", "POWERS"], "valid_edges": [["IVANHOE", "directed_by", "ENT28466"], ["IVANHOE", "REL2", "ADVENTURE"], ["IVANHOE", "REL5", "BD-R"], ["IVANHOE", "release_year", "1952"], ["IVANHOE", "written_by", "NOEL LANGLEY"], ["ENT23779", "REL5", "BD-R"], ["ENT23779", "release_year", "1952"], ["ENT23779", "starre...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ENT143", "ENT38480"], "valid_edges": [["FACE TO FACE", "release_year", "ENT143"], ["FACE TO FACE", "starred_actors", "LIV ULLMANN"], ["THE EMIGRANTS", "directed_by", "JAN TROELL"], ["THE EMIGRANTS", "REL5", "JAN TROELL"], ["THE EMIGRANTS", "starred_actors", "EDDIE AXBERG"], ["THE EMIGRANTS", "starred_act...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["PHILIPPE LE GUAY", "WOMEN IN LOVE"], "valid_edges": [["2010", "REL5", "BD-R"], ["THE WOMEN ON THE 6TH FLOOR", "directed_by", "PHILIPPE LE GUAY"], ["THE WOMEN ON THE 6TH FLOOR", "release_year", "2010"], ["THE WOMEN ON THE 6TH FLOOR", "written_by", "PHILIPPE LE GUAY"], ["WOMEN IN LOVE", "REL5", "BD-R"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["BEAUTY IN TROUBLE", "SILK STOCKINGS"], "valid_edges": [["BEAUTY IN TROUBLE", "has_imdb_rating", "GOOD"], ["FUNNY FACE", "REL5", "FRED ASTAIRE"], ["FUNNY FACE", "release_year", "1957"], ["FUNNY FACE", "starred_actors", "FRED ASTAIRE"], ["GOOD", "has_imdb_rating", "GOOD"], ["NIGHTFALL", "has_imdb_rating", ...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ENT3453", "BURT REYNOLDS"], "valid_edges": [["CITY HEAT", "REL2", "CRIME"], ["CITY HEAT", "starred_actors", "BURT REYNOLDS"], ["ENT15002", "REL2", "CRIME"], ["ENT15002", "starred_actors", "BURT REYNOLDS"], ["PHYSICAL EVIDENCE", "REL2", "CRIME"], ["PHYSICAL EVIDENCE", "starred_actors", "BURT REYNOLDS"], [...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["ENT7227", "LOVE ME NO MORE"], "valid_edges": [["ENT7227", "release_year", "2010"], ["LOVE ME NO MORE", "directed_by", "JEAN BECKER"], ["LOVE ME NO MORE", "REL5", "JEAN BECKER"], ["LOVE ME NO MORE", "written_by", "JEAN BECKER"], ["MY AFTERNOONS WITH MARGUERITTE", "directed_by", "JEAN BECKER"], ["MY AFTERN...
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["DEATH SHIP", "FOOD OF LOVE"], "valid_edges": [["DEATH SHIP", "release_year", "1980"], ["FOOD OF LOVE", "release_year", "2002"], ["OUT OF THE BLUE", "release_year", "1980"], ["OUT OF THE BLUE", "release_year", "2002"]]}
metaqa
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{"entities": ["GIRLS JUST WANT TO HAVE FUN", "PAN"], "valid_edges": [["GIRLS JUST WANT TO HAVE FUN", "starred_actors", "SARAH JESSICA PARKER"], ["MIAMI RHAPSODY", "release_year", "1995"], ["MIAMI RHAPSODY", "starred_actors", "SARAH JESSICA PARKER"], ["PAN", "release_year", "1995"]]}