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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": ["PELLE THE CONQUEROR", "SHERMAN TODD"], "valid_edges": [["84 CHARING CROSS ROAD", "REL2", "DRAMA"], ["84 CHARING CROSS ROAD", "release_year", "1987"], ["A FAMILY", "REL2", "DRAMA"], ["A FAMILY", "REL6", "DANISH"], ["ENT422", "REL2", "DRAMA"], ["ENT422", "REL6", "DANISH"], ["A GATHERING OF OLD MEN", "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": ["LEIF ERICKSON", "LIFE IS A LONG QUIET RIVER"], "valid_edges": [["KISS THEM FOR ME", "REL2", "COMEDY"], ["KISS THEM FOR ME", "starred_actors", "LEIF ERICKSON"], ["LIFE IS A LONG QUIET RIVER", "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": ["ENT25828", "ENT30414"], "valid_edges": [["ENT27623", "REL5", "ENT30414"], ["ENT27623", "release_year", "2011"], ["THE GREY", "REL5", "ENT25828"], ["THE GREY", "release_year", "2011"]]}
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": ["A LITTLE HELP", "ETHAN MAO"], "valid_edges": [["A LITTLE HELP", "release_year", "2010"], ["ETHAN MAO", "release_year", "2004"], ["GOING THE DISTANCE", "release_year", "2004"], ["GOING THE DISTANCE", "release_year", "2010"], ["UNSTOPPABLE", "release_year", "2004"], ["UNSTOPPABLE", "release_year", "2010"]]...
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": ["ENT28080", "THE SECRET LIFE OF BEES"], "valid_edges": [["GIRL", "REL2", "DRAMA"], ["KIKI'S DELIVERY SERVICE", "REL5", "GIRL"], ["KIKI'S DELIVERY SERVICE", "starred_actors", "ENT28080"], ["THE SECRET LIFE OF BEES", "REL2", "DRAMA"], ["THE SECRET LIFE OF BEES", "REL5", "DRAMA"]]}
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": ["JOHN RICHARDSON", "LOVE MEETINGS"], "valid_edges": [["ACCATTONE", "directed_by", "PIER PAOLO PASOLINI"], ["ACCATTONE", "REL5", "PIER PAOLO PASOLINI"], ["ACCATTONE", "REL6", "ENT15722"], ["ACCATTONE", "written_by", "PIER PAOLO PASOLINI"], ["ARABIAN NIGHTS", "directed_by", "PIER PAOLO PASOLINI"], ["ARABIAN...
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": ["ENT20300", "ROBERT STEVENSON"], "valid_edges": [["INFERNO", "starred_actors", "ENT20300"], ["INFERNO", "starred_actors", "ENT28973"], ["THE WOMAN ON PIER 13", "directed_by", "ROBERT STEVENSON"], ["THE WOMAN ON PIER 13", "starred_actors", "ENT28973"]]}
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": ["ENT22170", "ENT24299"], "valid_edges": [["AN ADVENTURE IN SPACE AND TIME", "REL5", "BD-R"], ["AN ADVENTURE IN SPACE AND TIME", "written_by", "ENT22170"], ["BUBBA HO-TEP", "REL5", "BD-R"], ["BUBBA HO-TEP", "REL5", "ENT24299"], ["THE MUMMY", "REL5", "BD-R"], ["THE MUMMY", "REL5", "ENT24299"]]}
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": ["BERNARD SLADE", "WILFORD BRIMLEY"], "valid_edges": [["HIGH ROAD TO CHINA", "REL5", "WILFORD BRIMLEY"], ["HIGH ROAD TO CHINA", "release_year", "1983"], ["HIGH ROAD TO CHINA", "starred_actors", "WILFORD BRIMLEY"], ["ROMANTIC COMEDY", "release_year", "1983"], ["ROMANTIC COMEDY", "written_by", "BERNARD SLADE...
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": ["ENT6586", "SHANE CONNAUGHTON"], "valid_edges": [["MACABRE", "REL5", "BD-R"], ["MACABRE", "starred_actors", "ENT6586"], ["MY LEFT FOOT", "REL5", "BD-R"], ["MY LEFT FOOT", "written_by", "SHANE CONNAUGHTON"]]}
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": ["JERZY KAWALEROWICZ", "MARY PICKFORD"], "valid_edges": [["COQUETTE", "REL2", "DRAMA"], ["COQUETTE", "starred_actors", "MARY PICKFORD"], ["ENT7703", "REL2", "DRAMA"], ["ENT7703", "starred_actors", "MARY PICKFORD"], ["MOTHER JOAN OF THE ANGELS", "directed_by", "JERZY KAWALEROWICZ"], ["MOTHER JOAN OF THE ANG...
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": ["BLACK MOON RISING", "ENT32627"], "valid_edges": [["ALIENS", "REL2", "ACTION"], ["ALIENS", "REL5", "ACTION"], ["ALIENS", "release_year", "ENT154"], ["ENT2811", "REL2", "ACTION"], ["ENT2811", "release_year", "ENT154"], ["ARMOUR OF GOD", "REL2", "ACTION"], ["ARMOUR OF GOD", "release_year", "ENT154"], ["ASSA...
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": ["TARZAN'S NEW YORK ADVENTURE", "THE COUNTRY GIRL"], "valid_edges": [["ENT14628", "REL5", "ENT4214"], ["ENT14628", "release_year", "1942"], ["ENT14628", "starred_actors", "ENT4214"], ["ROAD TO MOROCCO", "release_year", "1942"], ["ROAD TO MOROCCO", "starred_actors", "ENT4214"], ["TARZAN'S NEW YORK 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": ["ENT20995", "ENT34195"], "valid_edges": [["AND SOON THE DARKNESS", "REL2", "THRILLER"], ["AND SOON THE DARKNESS", "release_year", "1970"], ["DORIAN GRAY", "REL2", "THRILLER"], ["DORIAN GRAY", "release_year", "1970"], ["LE BOUCHER", "REL2", "THRILLER"], ["LE BOUCHER", "release_year", "1970"], ["ENT34195", ...
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": ["CRIMES OF THE HEART", "ENT23776"], "valid_edges": [["42", "REL2", "ENT31609"], ["42", "REL5", "SPORTS"], ["BLACKBALL", "REL2", "ENT31609"], ["BLACKBALL", "REL5", "SPORTS"], ["BREAKING AWAY", "REL2", "ENT31609"], ["BREAKING AWAY", "REL5", "SPORTS"], ["BULL DURHAM", "REL2", "ENT31609"], ["BULL DURHAM", "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": ["BASIL DICKEY", "MARX BROTHERS"], "valid_edges": [["DUCK SOUP", "REL5", "MARX BROTHERS"], ["DUCK SOUP", "release_year", "1933"], ["TARZAN THE FEARLESS", "release_year", "1933"], ["TARZAN THE FEARLESS", "written_by", "BASIL DICKEY"]]}
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": ["1927", "ROBERT A. STEMMLE"], "valid_edges": [["7TH HEAVEN", "directed_by", "ENT11890"], ["7TH HEAVEN", "REL5", "ENT11890"], ["7TH HEAVEN", "release_year", "1927"], ["ENT8983", "directed_by", "ENT11890"], ["ENT8983", "REL5", "ENT11890"], ["ENT8983", "written_by", "ROBERT A. STEMMLE"]]}
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": ["ELIAS KOTEAS", "ENT23292"], "valid_edges": [["HARRISON'S FLOWERS", "starred_actors", "ENT991"], ["HARRISON'S FLOWERS", "starred_actors", "ELIAS KOTEAS"], ["ENT36366", "REL5", "ENT991"], ["ENT36366", "starred_actors", "ELIAS KOTEAS"], ["WRECKED", "directed_by", "ENT23292"], ["WRECKED", "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": ["SLUMMING", "ENT36246"], "valid_edges": [["DR. JEKYLL AND MS. HYDE", "REL2", "COMEDY"], ["DR. JEKYLL AND MS. HYDE", "written_by", "ROBERT LOUIS STEVENSON"], ["JEKYLL AND HYDE... TOGETHER AGAIN", "REL2", "COMEDY"], ["JEKYLL AND HYDE... TOGETHER AGAIN", "REL5", "ROBERT LOUIS STEVENSON"], ["JEKYLL AND HYDE.....
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": ["ILL MANORS", "MARS NEEDS MOMS"], "valid_edges": [["ATTACK THE BLOCK", "REL5", "BRITISH"], ["ATTACK THE BLOCK", "release_year", "2011"], ["ILL MANORS", "REL5", "BRITISH"], ["ILL MANORS", "starred_actors", "RIZ AHMED"], ["MARS NEEDS MOMS", "release_year", "2011"], ["THE AWAKENING", "REL5", "BRITISH"], ["TH...
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": ["BILLY WILDER", "KRISTIN GRIFFITH"], "valid_edges": [["HOLD BACK THE DAWN", "directed_by", "MITCHELL LEISEN"], ["HOLD BACK THE DAWN", "REL2", "DRAMA"], ["HOLD BACK THE DAWN", "REL5", "MITCHELL LEISEN"], ["HOLD BACK THE DAWN", "written_by", "BILLY WILDER"], ["HOLD BACK THE DAWN", "written_by", "CHARLES BRA...
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": ["GUNS, GIRLS AND GAMBLING", "ENT19889"], "valid_edges": [["GUNS, GIRLS AND GAMBLING", "release_year", "2012"], ["GUNS, GIRLS AND GAMBLING", "starred_actors", "CHRISTIAN SLATER"], ["GUNS, GIRLS AND GAMBLING", "starred_actors", "ENT7858"], ["ENT19889", "release_year", "2008"], ["MIDDLE OF NOWHERE", "release...
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": ["HOUSE OF WOMEN", "THE HORROR SHOW"], "valid_edges": [["ENT1991", "REL2", "CRIME"], ["ENT1991", "release_year", "ENT157"], ["BATMAN", "REL2", "CRIME"], ["BATMAN", "REL5", "CRIME"], ["BATMAN", "release_year", "ENT157"], ["BLIND FURY", "REL2", "CRIME"], ["BLIND FURY", "release_year", "ENT157"], ["DISORGANIZ...
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": ["GABRIELLE RICHENS", "PETER FONDA"], "valid_edges": [["ENT12897", "REL5", "PETER FONDA"], ["ENT12897", "release_year", "2007"], ["ENT12897", "starred_actors", "PETER FONDA"], ["ENT13721", "release_year", "2007"], ["ENT13721", "starred_actors", "GABRIELLE RICHENS"]]}
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": ["FACE/OFF", "NIVEN BUSCH"], "valid_edges": [["FACE/OFF", "release_year", "1997"], ["THE WESTERNER", "REL2", "ENT39031"], ["THE WESTERNER", "written_by", "NIVEN BUSCH"], ["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": ["MAX LANG", "PETER HYAMS"], "valid_edges": [["ENT4005", "directed_by", "PETER HYAMS"], ["ENT4005", "release_year", "2009"], ["ENT4005", "written_by", "PETER HYAMS"], ["THE GRUFFALO", "directed_by", "MAX LANG"], ["THE GRUFFALO", "release_year", "2009"], ["THE GRUFFALO", "written_by", "MAX LANG"]]}
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": ["GARTH JENNINGS", "NEILL BARRY"], "valid_edges": [["O.C. AND STIGGS", "REL2", "COMEDY"], ["O.C. AND STIGGS", "starred_actors", "NEILL BARRY"], ["SON OF RAMBOW", "directed_by", "GARTH JENNINGS"], ["SON OF RAMBOW", "REL2", "COMEDY"], ["SON OF RAMBOW", "REL5", "GARTH JENNINGS"], ["SON OF RAMBOW", "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": ["KATRINA KAIF", "TEMPLE GRANDIN"], "valid_edges": [["NEW YORK", "starred_actors", "KATRINA KAIF"], ["TEMPLE GRANDIN", "release_year", "2010"], ["TEMPLE GRANDIN", "written_by", "TEMPLE GRANDIN"], ["THE SWITCH", "REL5", "NEW YORK"], ["THE SWITCH", "release_year", "2010"]]}
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": ["AMERICAN PERFEKT", "ENT11517"], "valid_edges": [["AMERICAN PERFEKT", "REL2", "THRILLER"], ["BUNNY LAKE IS MISSING", "REL2", "THRILLER"], ["BUNNY LAKE IS MISSING", "starred_actors", "LAURENCE OLIVIER"], ["ENT11517", "starred_actors", "LAURENCE OLIVIER"], ["MARATHON MAN", "REL2", "THRILLER"], ["MARATHON MA...
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": ["MARK TARLOV", "THE SAPPHIRES"], "valid_edges": [["SIMPLY IRRESISTIBLE", "directed_by", "MARK TARLOV"], ["SIMPLY IRRESISTIBLE", "REL2", "COMEDY"], ["THE SAPPHIRES", "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": ["MARJORIE MAIN", "WILFRED JACKSON"], "valid_edges": [["PINOCCHIO", "directed_by", "WILFRED JACKSON"], ["PINOCCHIO", "has_imdb_rating", "GOOD"], ["THE LONG, LONG TRAILER", "has_imdb_rating", "GOOD"], ["THE LONG, LONG TRAILER", "starred_actors", "MARJORIE MAIN"]]}
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": ["BULLET", "VICTOR FRANCEN"], "valid_edges": [["BULLET", "REL2", "DRAMA"], ["HELL AND HIGH WATER", "REL2", "DRAMA"], ["HELL AND HIGH WATER", "starred_actors", "VICTOR FRANCEN"], ["HOLD BACK THE DAWN", "REL2", "DRAMA"], ["HOLD BACK THE DAWN", "starred_actors", "VICTOR FRANCEN"]]}
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": ["12 O'CLOCK BOYS", "YOU'RE A BIG BOY NOW"], "valid_edges": [["12 O'CLOCK BOYS", "REL2", "ENT9307"], ["LENNONYC", "REL2", "ENT9307"], ["LENNONYC", "REL5", "NEW YORK CITY"], ["MAD HOT BALLROOM", "REL2", "ENT9307"], ["MAD HOT BALLROOM", "REL5", "ENT9307"], ["MAD HOT BALLROOM", "REL5", "NEW YORK CITY"], ["THE...
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": ["ENT15571", "SERGEI LOZNITSA"], "valid_edges": [["GRABBERS", "REL5", "ENT15571"], ["GRABBERS", "release_year", "2012"], ["IN THE FOG", "directed_by", "SERGEI LOZNITSA"], ["IN THE FOG", "release_year", "2012"], ["IN THE FOG", "written_by", "SERGEI LOZNITSA"], ["WHAT RICHARD DID", "REL6", "ENT15571"], ["WHA...
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": ["ENT15049", "THE SANDLOT"], "valid_edges": [["ENT15049", "REL5", "CHARLOTTE GAINSBOURG"], ["ENT15049", "starred_actors", "CHARLOTTE GAINSBOURG"], ["THE CEMENT GARDEN", "REL5", "CHARLOTTE GAINSBOURG"], ["THE CEMENT GARDEN", "release_year", "1993"], ["THE CEMENT GARDEN", "starred_actors", "CHARLOTTE GAINSBO...
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": ["JAMES PONSOLDT", "ENT19855"], "valid_edges": [["1941", "REL2", "COMEDY"], ["BORN TO DANCE", "REL2", "MUSICAL"], ["BORN TO DANCE", "has_imdb_rating", "GOOD"], ["GOOD", "has_imdb_rating", "GOOD"], ["IT STARTED WITH EVE", "REL2", "MUSICAL"], ["IT STARTED WITH EVE", "release_year", "1941"], ["ENT19855", "dir...
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": ["ME, MYSELF AND MUM", "PAULINA GARCÍA"], "valid_edges": [["GLORIA", "release_year", "2013"], ["GLORIA", "starred_actors", "PAULINA GARCÍA"], ["ME, MYSELF AND MUM", "release_year", "2013"]]}
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": ["MARTYRS", "NO GREATER LOVE"], "valid_edges": [["CURSE OF CHUCKY", "REL2", "HORROR"], ["CURSE OF CHUCKY", "REL5", "HORROR"], ["CURSE OF CHUCKY", "starred_actors", "DANIELLE BISUTTI"], ["MARTYRS", "REL2", "HORROR"], ["MARTYRS", "REL5", "HORROR"], ["NO GREATER LOVE", "starred_actors", "DANIELLE BISUTTI"]]}
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": ["ENT2867", "VERA CASPARY"], "valid_edges": [["ENT479", "release_year", "1949"], ["ENT479", "written_by", "VERA CASPARY"], ["ENT36051", "release_year", "1949"], ["ENT36051", "written_by", "ENT2867"]]}
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": ["LAINIE KAZAN", "ENT35276"], "valid_edges": [["2012", "REL5", "JOHN CUSACK"], ["2012", "starred_actors", "JOHN CUSACK"], ["ENT34859", "starred_actors", "JOHN CUSACK"], ["ENT34859", "starred_actors", "LAINIE KAZAN"], ["ENT35276", "release_year", "2012"]]}
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": ["ENT9488", "DREW SEELEY"], "valid_edges": [["ENT2512", "REL2", "COMEDY"], ["ENT2512", "starred_actors", "DREW SEELEY"], ["ENT3241", "REL2", "COMEDY"], ["ENT3241", "starred_actors", "ENT9488"], ["NEXT DAY AIR", "REL2", "COMEDY"], ["NEXT DAY AIR", "starred_actors", "ENT9488"], ["TRIPPIN'", "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": ["BRAMWELL FLETCHER", "ENT21447"], "valid_edges": [["2010", "REL5", "BD-R"], ["ENT21447", "release_year", "2010"], ["SVENGALI", "REL5", "BD-R"], ["SVENGALI", "starred_actors", "BRAMWELL FLETCHER"]]}
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": ["DINO VINDENI", "HERBERT J. LEDER"], "valid_edges": [["LITTLE WITCHES", "REL2", "HORROR"], ["LITTLE WITCHES", "written_by", "DINO VINDENI"], ["ENT34359", "directed_by", "HERBERT J. LEDER"], ["ENT34359", "REL2", "HORROR"], ["ENT34359", "written_by", "HERBERT J. LEDER"]]}
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": ["JUSTIN PIERCE", "KORKORO"], "valid_edges": [["KIDS", "REL2", "DRAMA"], ["KIDS", "starred_actors", "JUSTIN PIERCE"], ["KORKORO", "REL2", "DRAMA"]]}
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 E. TOLCHINSKY", "SYMMETRY"], "valid_edges": [["16 YEARS OF ALCOHOL", "REL2", "DRAMA"], ["16 YEARS OF ALCOHOL", "release_year", "2003"], ["21 GRAMS", "REL2", "DRAMA"], ["21 GRAMS", "REL5", "DRAMA"], ["21 GRAMS", "release_year", "2003"], ["300 MILES TO HEAVEN", "REL2", "DRAMA"], ["300 MILES TO HEAVEN...
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 COX", "JOHN TATOULIS"], "valid_edges": [["ENT36674", "directed_by", "ALEX COX"], ["ENT36674", "release_year", "1996"], ["ZONE 39", "directed_by", "JOHN TATOULIS"], ["ZONE 39", "release_year", "1996"]]}
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": ["CHASING AMY", "ENT31551"], "valid_edges": [["2012", "REL5", "ENT31551"], ["ANNA KARENINA", "release_year", "1997"], ["ANNA KARENINA", "release_year", "2012"], ["CHASING AMY", "REL5", "ROMANTIC"], ["CHASING AMY", "release_year", "1997"], ["CINDERELLA", "REL5", "ROMANTIC"], ["CINDERELLA", "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": ["DANIEL ALGRANT", "ROCCO SIFFREDI"], "valid_edges": [["PEOPLE I KNOW", "directed_by", "DANIEL ALGRANT"], ["PEOPLE I KNOW", "REL2", "DRAMA"], ["ROMANCE", "REL2", "DRAMA"], ["ROMANCE", "starred_actors", "ROCCO SIFFREDI"]]}
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": ["ENT1630", "ENT18613"], "valid_edges": [["DE L'AUTRE CÔTÉ DU LIT", "REL2", "COMEDY"], ["DE L'AUTRE CÔTÉ DU LIT", "written_by", "ENT1630"], ["THE GOOD GUY", "directed_by", "ENT18613"], ["THE GOOD GUY", "REL2", "COMEDY"], ["THE GOOD GUY", "written_by", "ENT18613"]]}
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": ["ENT7676", "ENT18948"], "valid_edges": [["GIRLHOOD", "directed_by", "ENT7676"], ["GIRLHOOD", "REL5", "ENT7676"], ["GIRLHOOD", "release_year", "2014"], ["GIRLHOOD", "written_by", "ENT7676"], ["ENT19407", "REL5", "ENT18948"], ["ENT19407", "release_year", "2014"], ["ENT19407", "starred_actors", "ENT18948"], ...
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": ["NORMAN STEINBERG", "ENT27627"], "valid_edges": [["27 DRESSES", "REL2", "COMEDY"], ["27 DRESSES", "release_year", "2008"], ["3 IDIOTS", "REL2", "COMEDY"], ["3 IDIOTS", "REL6", "ENT14551"], ["A BUNCH OF AMATEURS", "REL2", "COMEDY"], ["A BUNCH OF AMATEURS", "release_year", "2008"], ["A CHRISTMAS TALE", "REL...
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": ["FRANC. REYES", "ENT15276"], "valid_edges": [["ENT15276", "directed_by", "FRANC. REYES"], ["ENT15276", "written_by", "FRANC. REYES"]]}
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": ["MR. NORTH", "ENT27569"], "valid_edges": [["KUKULI", "REL2", "DRAMA"], ["KUKULI", "REL6", "ENT27569"], ["ENT21502", "REL2", "DRAMA"], ["ENT21502", "REL6", "ENT27569"], ["MR. NORTH", "REL2", "DRAMA"]]}
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": ["DEANNA RUSSO", "GOOD MORNING, NIGHT"], "valid_edges": [["GHOST VOYAGE", "release_year", "2008"], ["GHOST VOYAGE", "starred_actors", "DEANNA RUSSO"], ["GOOD", "has_imdb_rating", "GOOD"], ["GOOD", "release_year", "2008"], ["GOOD MORNING, NIGHT", "has_imdb_rating", "GOOD"]]}
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": ["JEFFREY REDDICK", "MATI UNT"], "valid_edges": [["AUTUMN BALL", "REL2", "DRAMA"], ["AUTUMN BALL", "written_by", "MATI UNT"], ["FINAL DESTINATION", "REL5", "DRAMA"], ["FINAL DESTINATION", "written_by", "JEFFREY REDDICK"]]}
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": ["MYLES CONNOLLY", "THE MAN WITH THE GOLDEN ARM"], "valid_edges": [["ENT13865", "REL5", "ENT13865"], ["ENT13865", "written_by", "MYLES CONNOLLY"], ["THE MAN WITH THE GOLDEN ARM", "REL5", "BD-R"], ["THE RED SHOES", "REL5", "BD-R"], ["THE RED SHOES", "written_by", "ENT13865"]]}
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": ["SNOWPIERCER", "ENT32523"], "valid_edges": [["2 GUNS", "REL2", "ACTION"], ["2 GUNS", "release_year", "2013"], ["ENT224", "REL2", "ACTION"], ["ENT224", "REL6", "FRENCH"], ["47 RONIN", "REL2", "ACTION"], ["47 RONIN", "release_year", "2013"], ["ENT432", "REL2", "ACTION"], ["ENT432", "REL5", "ACTION"], ["ENT4...
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": ["ENT24056", "OUT FOR JUSTICE"], "valid_edges": [["ENT3617", "REL6", "FRENCH"], ["ENT3617", "release_year", "1991"], ["CARNE", "REL5", "FRENCH"], ["CARNE", "REL6", "FRENCH"], ["CARNE", "release_year", "1991"], ["DELICATESSEN", "REL5", "FRENCH"], ["DELICATESSEN", "REL6", "FRENCH"], ["DELICATESSEN", "release...
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": ["COMPUTER ANIMATION", "LEE DAVIS"], "valid_edges": [["3 A.M.", "directed_by", "LEE DAVIS"], ["3 A.M.", "release_year", "2001"], ["3 A.M.", "written_by", "LEE DAVIS"], ["ENT30906", "REL5", "COMPUTER ANIMATION"], ["ENT30906", "release_year", "2001"]]}
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": ["ENT2922", "BERKELY MATHER"], "valid_edges": [["DR. NO", "release_year", "ENT128"], ["DR. NO", "written_by", "BERKELY MATHER"], ["THE MIRACLE WORKER", "directed_by", "ENT2922"], ["THE MIRACLE WORKER", "REL5", "ENT2922"], ["THE MIRACLE WORKER", "release_year", "ENT128"]]}
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": ["ENT36359", "WHITE SQUALL"], "valid_edges": [["ENT4590", "REL2", "ENT11253"], ["ENT4590", "release_year", "1996"], ["HARVEY", "REL2", "ENT11253"], ["HARVEY", "release_year", "1996"], ["JAMES AND THE GIANT PEACH", "REL5", "ENT11253"], ["JAMES AND THE GIANT PEACH", "release_year", "1996"], ["KAZAAM", "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": ["ENT4125", "NURSING HOME"], "valid_edges": [["RACHEL GETTING MARRIED", "REL2", "DRAMA"], ["RACHEL GETTING MARRIED", "starred_actors", "ENT4125"], ["THE NOTEBOOK", "REL2", "DRAMA"], ["THE NOTEBOOK", "REL5", "NURSING HOME"]]}
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": ["MARIANNE FAITHFULL", "ENT35527"], "valid_edges": [["HAMLET", "REL5", "HAMLET"], ["HAMLET", "starred_actors", "MARIANNE FAITHFULL"], ["HAMLET 2", "REL2", "COMEDY"], ["HAMLET 2", "REL5", "HAMLET"], ["HAMLET GOES BUSINESS", "REL2", "COMEDY"], ["HAMLET GOES BUSINESS", "REL5", "COMEDY"], ["HAMLET GOES BUSINES...
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": ["DANGEROUS MOVES", "TEARS OF APRIL"], "valid_edges": [["DANGEROUS MOVES", "release_year", "ENT152"], ["TEARS OF APRIL", "REL5", "ENT11498"], ["TEARS OF APRIL", "REL6", "ENT11498"], ["ENT35918", "REL6", "ENT11498"], ["ENT35918", "release_year", "ENT152"], ["UUNO TURHAPURO ARMEIJAN LEIVISSÄ", "REL6", "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": ["I LOVE TROUBLE", "TARANTINO"], "valid_edges": [["BLUE CHIPS", "release_year", "1994"], ["BLUE CHIPS", "starred_actors", "ENT24981"], ["DEATH PROOF", "directed_by", "ENT27587"], ["DEATH PROOF", "REL5", "GRINDHOUSE"], ["DEATH PROOF", "REL5", "ENT27587"], ["DEATH PROOF", "REL5", "TARANTINO"], ["DEATH PROOF"...
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": ["BONJOUR TRISTESSE", "LOVERS AND OTHER STRANGERS"], "valid_edges": [["BONJOUR TRISTESSE", "REL5", "BD-R"], ["BREWSTER MCCLOUD", "REL5", "BD-R"], ["BREWSTER MCCLOUD", "release_year", "1970"], ["ENT7384", "REL5", "BD-R"], ["ENT7384", "release_year", "1970"], ["FIVE EASY PIECES", "REL5", "BD-R"], ["FIVE EASY...
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": ["RICK ROSENTHAL", "STANLEY KRAMER"], "valid_edges": [["BAD BOYS", "directed_by", "RICK ROSENTHAL"], ["BAD BOYS", "REL2", "COMEDY"], ["BAD BOYS", "REL2", "DRAMA"], ["BAD BOYS", "REL5", "COMEDY"], ["BAD BOYS", "REL5", "RICK ROSENTHAL"], ["DISTANT THUNDER", "directed_by", "RICK ROSENTHAL"], ["DISTANT THUNDER...
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": ["VICKY CRISTINA BARCELONA", "WILLIAM OLSSON"], "valid_edges": [["AN AMERICAN AFFAIR", "directed_by", "WILLIAM OLSSON"], ["AN AMERICAN AFFAIR", "release_year", "2008"], ["ENT27565", "REL5", "ENT27192"], ["ENT27565", "release_year", "2008"], ["THE SPIRIT", "REL5", "SCARLETT JOHANSSON"], ["THE SPIRIT", "rele...
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": ["ENT10097", "ENT21488"], "valid_edges": [["ENT135", "REL2", "DRAMA"], ["ENT135", "release_year", "1988"], ["A KIND OF LOVING", "directed_by", "JOHN SCHLESINGER"], ["A KIND OF LOVING", "REL2", "DRAMA"], ["ENT590", "REL2", "DRAMA"], ["ENT590", "release_year", "1988"], ["A SOLDIER'S DAUGHTER NEVER CRIES", "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": ["MONDO", "MORTAL KOMBAT"], "valid_edges": [["MONDO", "release_year", "1995"], ["MORTAL KOMBAT", "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": ["INDIANA JONES AND THE LAST CRUSADE", "KIDNAP SYNDICATE"], "valid_edges": [["A.I. ARTIFICIAL INTELLIGENCE", "directed_by", "STEVEN SPIELBERG"], ["A.I. ARTIFICIAL INTELLIGENCE", "REL5", "ENT31582"], ["A.I. ARTIFICIAL INTELLIGENCE", "REL5", "STEVEN SPIELBERG"], ["A.I. ARTIFICIAL INTELLIGENCE", "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": ["JIM BRAY", "WINGS"], "valid_edges": [["ENT29233", "REL5", "BD-R"], ["ENT29233", "starred_actors", "JIM BRAY"], ["WINGS", "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": ["LLUÍS HOMAR", "ENT32660"], "valid_edges": [["2012", "release_year", "2009"], ["ENT1111", "REL6", "JAPANESE"], ["ENT1111", "release_year", "2009"], ["BAD EDUCATION", "directed_by", "PEDRO ALMODÓVAR"], ["BAD EDUCATION", "REL5", "PEDRO ALMODÓVAR"], ["BAD EDUCATION", "REL5", "ENT31532"], ["BAD EDUCATION", "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": ["THE CRUSH", "WELCOME HOME, ROXY CARMICHAEL"], "valid_edges": [["BOILING POINT", "release_year", "1990"], ["BOILING POINT", "release_year", "1993"], ["ENT10201", "REL5", "WINONA RYDER"], ["ENT10201", "release_year", "1990"], ["ENT10201", "starred_actors", "WINONA RYDER"], ["ENT23099", "REL5", "WINONA RYDE...
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": ["BRUCE MARCHIANO", "HOSSEIN AMINI"], "valid_edges": [["APOSTLE PETER AND THE LAST SUPPER", "release_year", "2012"], ["APOSTLE PETER AND THE LAST SUPPER", "starred_actors", "BRUCE MARCHIANO"], ["SNOW WHITE AND THE HUNTSMAN", "release_year", "2012"], ["SNOW WHITE AND THE HUNTSMAN", "written_by", "HOSSEIN AM...
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 CORD", "ASTERIX AND THE VIKINGS"], "valid_edges": [["ASTERIX AND THE VIKINGS", "REL6", "ENT10611"], ["ASTERIX AND THE VIKINGS", "REL6", "FRENCH"], ["STAGECOACH", "REL2", "ENT39031"], ["STAGECOACH", "REL5", "ENT39031"], ["STAGECOACH", "starred_actors", "ALEX CORD"], ["ENT33756", "REL6", "ENT10611"], ...
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 MORA", "WARD COSTELLO"], "valid_edges": [["A BREED APART", "directed_by", "PHILIPPE MORA"], ["A BREED APART", "REL2", "DRAMA"], ["NEWSFRONT", "REL2", "DRAMA"], ["NEWSFRONT", "written_by", "PHILIPPE MORA"], ["THE GALLANT HOURS", "REL2", "DRAMA"], ["THE GALLANT HOURS", "starred_actors", "WARD COST...
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": ["MONOLOGUE", "ENT36177"], "valid_edges": [["PULP", "REL2", "COMEDY"], ["PULP FICTION", "REL5", "COMEDY"], ["PULP FICTION", "REL5", "MONOLOGUE"], ["PULP FICTION", "REL5", "PULP"], ["PULP FICTION", "REL5", "R"], ["SWIMMING TO CAMBODIA", "REL5", "MONOLOGUE"], ["SWIMMING TO CAMBODIA", "REL5", "R"], ["ENT36177...
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": ["FRANZ SCHULZ", "SUBWAY"], "valid_edges": [["ENT23617", "REL5", "PARIS"], ["ENT23617", "written_by", "FRANZ SCHULZ"], ["PARIS", "REL6", "FRENCH"], ["SUBWAY", "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": ["BRIDGET FONDA", "ENT11430"], "valid_edges": [["ENT25855", "directed_by", "BARBET SCHROEDER"], ["ENT25855", "written_by", "ENT11430"], ["ENT31110", "directed_by", "BARBET SCHROEDER"], ["ENT31110", "REL5", "BRIDGET FONDA"], ["ENT31110", "starred_actors", "BRIDGET FONDA"]]}
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": ["ENT5341", "SPANGLISH"], "valid_edges": [["SPANGLISH", "REL2", "COMEDY"], ["ENT34558", "REL2", "COMEDY"], ["ENT34558", "starred_actors", "ENT5341"]]}
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": ["ARNOLD FANCK", "LINA WERTMÜLLER"], "valid_edges": [["ENT29712", "directed_by", "ARNOLD FANCK"], ["ENT29712", "REL6", "GERMAN"], ["ENT29712", "written_by", "ARNOLD FANCK"], ["ENT30516", "directed_by", "LINA WERTMÜLLER"], ["ENT30516", "REL6", "GERMAN"], ["ENT30516", "written_by", "LINA WERTMÜLLER"]]}
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": ["ABEL FERRARA", "KIRSTY GUNN"], "valid_edges": [["ENT6", "directed_by", "ABEL FERRARA"], ["ENT6", "release_year", "2001"], ["ENT6", "written_by", "ABEL FERRARA"], ["ENT27733", "release_year", "2001"], ["ENT27733", "written_by", "KIRSTY GUNN"]]}
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": ["CHRIS CLEAVE", "MIDDLE EAST"], "valid_edges": [["ENT4581", "REL5", "MIDDLE EAST"], ["ENT4581", "release_year", "2008"], ["INCENDIARY", "release_year", "2008"], ["INCENDIARY", "written_by", "CHRIS CLEAVE"]]}
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 DEEP END", "ZACK SNYDER"], "valid_edges": [["300", "directed_by", "ZACK SNYDER"], ["300", "REL2", "ENT11253"], ["300", "REL5", "COMIC BOOK"], ["300", "REL5", "GRAPHIC NOVEL"], ["300", "REL5", "R"], ["300", "REL5", "ZACK SNYDER"], ["300", "written_by", "ZACK SNYDER"], ["ENT4239", "REL6", "ENT10611"], ...
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": ["ALEC WAUGH", "DUSTIN BELT"], "valid_edges": [["AN ANGEL NAMED BILLY", "REL2", "DRAMA"], ["AN ANGEL NAMED BILLY", "starred_actors", "DUSTIN BELT"], ["ISLAND IN THE SUN", "REL2", "DRAMA"], ["ISLAND IN THE SUN", "written_by", "ALEC WAUGH"]]}
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": ["CONFIDENTIALLY YOURS", "MONSTERS VS. ALIENS"], "valid_edges": [["ALIENS", "REL5", "ALIENS"], ["CLOSE ENCOUNTERS OF THE THIRD KIND", "REL5", "ALIENS"], ["CLOSE ENCOUNTERS OF THE THIRD KIND", "starred_actors", "ENT12034"], ["CONFIDENTIALLY YOURS", "directed_by", "ENT12034"], ["CONFIDENTIALLY YOURS", "REL5"...
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": ["KUCKLES", "LONGFORD"], "valid_edges": [["AUSTRALIA", "REL2", "DRAMA"], ["BRAN NUE DAE", "REL5", "AUSTRALIA"], ["BRAN NUE DAE", "written_by", "KUCKLES"], ["LONGFORD", "REL2", "DRAMA"]]}
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": ["CHILDREN OF THE LIVING DEAD", "ENT8840"], "valid_edges": [["CHILDREN OF THE LIVING DEAD", "has_imdb_rating", "BAD"], ["ENT8840", "release_year", "1995"], ["HOUSEGUEST", "REL5", "BAD"], ["HOUSEGUEST", "release_year", "1995"]]}
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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": ["HYSTERICAL BLINDNESS", "ENT39479"], "valid_edges": [["HYSTERICAL BLINDNESS", "release_year", "2002"], ["ENT27289", "release_year", "2002"], ["ENT34197", "REL5", "ENT27289"], ["ENT34197", "written_by", "ENT39479"]]}
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": ["ENT4303", "ONCE IS NOT ENOUGH"], "valid_edges": [["ENT4303", "REL2", "HORROR"], ["BUG", "REL2", "HORROR"], ["BUG", "release_year", "1975"], ["MOON OF THE WOLF", "REL2", "HORROR"], ["MOON OF THE WOLF", "starred_actors", "DAVID JANSSEN"], ["ONCE IS NOT ENOUGH", "release_year", "1975"], ["ONCE IS NOT ENOUGH...
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": ["EMMA SUÁREZ", "TRACEY HECHT"], "valid_edges": [["EARTH", "REL2", "DRAMA"], ["EARTH", "REL5", "EARTH"], ["EARTH", "REL6", "ENT31532"], ["EARTH", "starred_actors", "EMMA SUÁREZ"], ["LIFE IN FLIGHT", "directed_by", "TRACEY HECHT"], ["LIFE IN FLIGHT", "REL2", "DRAMA"], ["LIFE IN FLIGHT", "written_by", "TRACE...
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": ["ENT1141", "AUSTRALIA"], "valid_edges": [["AUSTRALIA", "REL5", "AUSTRALIA"], ["GHIDORAH, THE THREE-HEADED MONSTER", "REL6", "JAPANESE"], ["GHIDORAH, THE THREE-HEADED MONSTER", "starred_actors", "ENT1141"], ["ENT16437", "REL5", "AUSTRALIA"], ["ENT16437", "REL6", "JAPANESE"]]}
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": ["ENT20256", "STUDENT BODIES"], "valid_edges": [["PRIME CUT", "directed_by", "ENT23439"], ["PRIME CUT", "starred_actors", "ENT20256"], ["ENT31255", "directed_by", "ENT23439"], ["ENT31255", "REL5", "ENT23439"], ["ENT31255", "written_by", "JERRY BELSON"], ["STUDENT BODIES", "directed_by", "ENT23439"], ["STUD...
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": ["MY LEFT FOOT", "STEPHEN GALAIDA"], "valid_edges": [["MY LEFT FOOT", "REL2", "DRAMA"], ["PUZZLEHEAD", "REL2", "DRAMA"], ["PUZZLEHEAD", "starred_actors", "STEPHEN GALAIDA"]]}
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": ["BATTLE", "ENT9484"], "valid_edges": [["ENT5116", "REL2", "CRIME"], ["ENT5116", "starred_actors", "ENT9484"], ["ZULU", "REL2", "CRIME"], ["ZULU", "REL5", "BATTLE"], ["ZULU", "REL6", "ZULU"]]}
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": ["ENT13123", "THE CRIMSON PIRATE"], "valid_edges": [["ENT1009", "REL2", "ADVENTURE"], ["ENT1009", "REL5", "ADVENTURE"], ["ENT1009", "REL5", "BD-R"], ["ENT1011", "REL2", "ADVENTURE"], ["ENT1011", "REL5", "BD-R"], ["ALICE IN WONDERLAND", "REL2", "ADVENTURE"], ["ALICE IN WONDERLAND", "REL5", "BD-R"], ["ARABIA...
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 GELLIS", "SYLVESTER STALLONE"], "valid_edges": [["ACROSS THE SEA OF TIME", "release_year", "1995"], ["ACROSS THE SEA OF TIME", "written_by", "ANDREW GELLIS"], ["ASSASSINS", "REL5", "SYLVESTER STALLONE"], ["ASSASSINS", "release_year", "1995"], ["ASSASSINS", "starred_actors", "SYLVESTER STALLONE"], ...
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": ["MAX ELLIOTT SLADE", "PAUL ARMONT"], "valid_edges": [["3 NINJAS", "REL2", "COMEDY"], ["3 NINJAS", "starred_actors", "MAX ELLIOTT SLADE"], ["LOVE ME TONIGHT", "REL2", "COMEDY"], ["LOVE ME TONIGHT", "written_by", "PAUL ARMONT"]]}
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": ["LEPRECHAUN 2", "ROBERT LEE KING"], "valid_edges": [["BRAINSCAN", "REL2", "HORROR"], ["BRAINSCAN", "release_year", "1994"], ["CEMETERY MAN", "REL2", "HORROR"], ["CEMETERY MAN", "release_year", "1994"], ["LEPRECHAUN", "REL2", "HORROR"], ["LEPRECHAUN", "REL5", "HORROR"], ["LEPRECHAUN", "starred_actors", "WA...