query stringlengths 86 205 | entity_a stringlengths 4 53 | entity_b stringlengths 4 66 | rel_b stringlengths 5 36 | prompt stringlengths 4.94k 5.13k | model stringclasses 1
value | generation_params stringclasses 1
value | model_response stringlengths 1.58k 12.6k | reasoning_summary stringlengths 0 13.6k | path_prediction listlengths 1 1 | path_strings listlengths 12 19 | parsed_paths stringlengths 1.19k 3.24k | n_paths int64 12 19 | validity listlengths 12 19 | n_valid_paths int64 2 19 | cost_usd float64 0 0.01 | elapsed_s float64 11.9 122 | method stringclasses 1
value | mode stringclasses 1
value | input_dataset stringclasses 1
value | timestamp timestamp[ns]date 2026-04-07 11:33:05 2026-04-07 12:50:29 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
What are different ways of connecting Tobin Bell, the actor known for his role in the "Saw" series, and someone who has been an unmarried partner of Harvey Keitel? | Tobin Bell | Harvey Keitel | unmarried partner | Query: What are different ways of connecting Tobin Bell, the actor known for his role in the "Saw" series, and someone who has been an unmarried partner of Harvey Keitel?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (hea... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["Tobin Bell", "acted in", "Saw (franchise)"],
["Saw (franchise)", "produced by", "Lionsgate Films"],
["Lionsgate Films", "distributed films starring", "Lorraine Bracco"],
["Lorraine Bracco", "unmarried partner", "Harvey Keitel"]
],
"2": [
["Tobin Bell", "acted with", "Bruce... |
1. Enumerate facets for Tobin Bell:
- Professional: Actor (best known for "Saw" series)
- Collaborations: Worked with directors and actors such as James Wan, Leigh Whannell, or others in horror genre
- Awards: Has received or been nominated for horror or acting awards
- Family: Has spouse or children (might connect in... | [
"\n\n<answer>{\n \"1\": [\n [\"Tobin Bell\", \"acted in\", \"Saw (franchise)\"],\n [\"Saw (franchise)\", \"produced by\", \"Lionsgate Films\"],\n [\"Lionsgate Films\", \"distributed films starring\", \"Lorraine Bracco\"],\n [\"Lorraine Bracco\", \"unmarried partner\", \"Harvey Keitel\"]\n ],\n \"2\":... | [
" [acted in] saw (franchise) | saw (franchise) [produced by] lionsgate films | lionsgate films [distributed films starring] lorraine bracco | lorraine bracco [unmarried partner] harvey keitel",
" [acted with] bruce davison | bruce davison [acted with] lorraine bracco | lorraine bracco [unmarried partner] harvey k... | [[["tobin bell", "acted in", "saw (franchise)"], ["saw (franchise)", "produced by", "lionsgate films"], ["lionsgate films", "distributed films starring", "lorraine bracco"], ["lorraine bracco", "unmarried partner", "harvey keitel"]], [["tobin bell", "acted with", "bruce davison"], ["bruce davison", "acted with", "lorra... | 12 | [
1,
1,
1,
0,
1,
1,
0,
1,
1,
1,
0,
1
] | 9 | 0.00392 | 33.35 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:33:05.770000 |
What are different ways of connecting Eric Allan Kramer, the actor, and someone who is known for their work as a poet? | Eric Allan Kramer | poet | occupation | Query: What are different ways of connecting Eric Allan Kramer, the actor, and someone who is known for their work as a poet?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuous c... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["Eric Allan Kramer", "acted in", "Macbeth (play)"],
["Macbeth (play)", "written by", "William Shakespeare"],
["William Shakespeare", "occupation", "poet"]
],
"2": [
["Eric Allan Kramer", "acted with", "Michael Richards"],
["Michael Richards", "published", "poetry works"],
... |
Facet enumeration for Eric Allan Kramer:
1. Professional/occupational: actor (known roles: Thor in stage production, appearances in TV shows like "Mad About You," "Schitt's Creek")
2. Awards/Honors: possible theater awards, not very well-documented (no major wins known)
3. Family/Personal: possible relatives or spouse... | [
"\n<answer>{\n \"1\": [\n [\"Eric Allan Kramer\", \"acted in\", \"Macbeth (play)\"],\n [\"Macbeth (play)\", \"written by\", \"William Shakespeare\"],\n [\"William Shakespeare\", \"occupation\", \"poet\"]\n ],\n \"2\": [\n [\"Eric Allan Kramer\", \"acted with\", \"Michael Richards\"],\n [\"Michael ... | [
" [acted in] macbeth (play) | macbeth (play) [written by] william shakespeare | william shakespeare [occupation] poet",
" [acted with] michael richards | michael richards [published] poetry works | michael richards [occupation] poet",
" [nominated at] emily dickinson theater festival | emily dickinson theater f... | [[["eric allan kramer", "acted in", "macbeth (play)"], ["macbeth (play)", "written by", "william shakespeare"], ["william shakespeare", "occupation", "poet"]], [["eric allan kramer", "acted with", "michael richards"], ["michael richards", "published", "poetry works"], ["michael richards", "occupation", "poet"]], [["eri... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | 12 | 0.003086 | 29.6 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:33:35.375000 |
What are different ways of connecting Richard Schiff, the American actor, and someone who was born in Tegucigalpa? | Richard Schiff | Tegucigalpa | place of birth | Query: What are different ways of connecting Richard Schiff, the American actor, and someone who was born in Tegucigalpa?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuous chain... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} | <think>
1. Enumerate facets of Richard Schiff:
- Profession: Actor, known for TV (The West Wing)
- Awards: Won Screen Actors Guild Award with ensemble cast
- Family: Married to Sheila Kelley
- Education: Graduated from City College of New York
- Collaborations: Worked with Aaron Sorkin (creator of The West Wing)
- Geog... | [
"<think>\n1. Enumerate facets of Richard Schiff:\n- Profession: Actor, known for TV (The West Wing)\n- Awards: Won Screen Actors Guild Award with ensemble cast\n- Family: Married to Sheila Kelley\n- Education: Graduated from City College of New York\n- Collaborations: Worked with Aaron Sorkin (creator of The West W... | [
" [acted in] the west wing | the west wing [has co-star] julianna margulies | julianna margulies [acted with] oscar isaac | oscar isaac [born in] guatemala city | guatemala city [nearby capital to] tegucigalpa",
" [married to] sheila kelley | sheila kelley [acted in] a year in the life | a year in the life [co-st... | [[["richard schiff", "acted in", "the west wing"], ["the west wing", "has co-star", "julianna margulies"], ["julianna margulies", "acted with", "oscar isaac"], ["oscar isaac", "born in", "guatemala city"], ["guatemala city", "nearby capital to", "tegucigalpa"]], [["richard schiff", "married to", "sheila kelley"], ["she... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | 12 | 0.002716 | 22.2 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:33:57.576000 | |
What are different ways of connecting Eliza Matengu and someone who was educated at Edinburgh's Telford College? | Eliza Matengu | Edinburgh's Telford College | educated at | Query: What are different ways of connecting Eliza Matengu and someone who was educated at Edinburgh's Telford College?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuous chain t... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["Eliza Matengu", "educated at", "University of Namibia"],
["University of Namibia", "partner with", "Edinburgh University"],
["Edinburgh University", "alumni include", "Person A"],
["Person A", "educated at", "Edinburgh's Telford College"]
],
"2": [
["Eliza Matengu", "member... |
1. Enumerate facets of Eliza Matengu:
- Professional: Namibian academic and university vice-chancellor.
- Awards: Received awards related to education or leadership.
- Education: Studied at various universities (e.g., University of Namibia).
- Institutional: Vice-chancellor of the University of Namibia.
... | [
"\n<answer>{\n \"1\": [\n [\"Eliza Matengu\", \"educated at\", \"University of Namibia\"],\n [\"University of Namibia\", \"partner with\", \"Edinburgh University\"],\n [\"Edinburgh University\", \"alumni include\", \"Person A\"],\n [\"Person A\", \"educated at\", \"Edinburgh's Telford College\"]\n ],\... | [
" [educated at] university of namibia | university of namibia [partner with] edinburgh university | edinburgh university [alumni include] person a | person a [educated at] edinburgh's telford college",
" [member of] african universities association | african universities association [partnered with] scottish educ... | [[["eliza matengu", "educated at", "university of namibia"], ["university of namibia", "partner with", "edinburgh university"], ["edinburgh university", "alumni include", "person a"], ["person a", "educated at", "edinburgh's telford college"]], [["eliza matengu", "member of", "african universities association"], ["afri... | 12 | [
1,
1,
0,
1,
1,
1,
1,
1,
1,
1,
1,
0
] | 10 | 0.0037 | 27.99 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:34:25.565000 |
What are different ways of connecting Manny Jacinto, the actor, and someone who is known for their work in the field of dance? | Manny Jacinto | dance | field of work | Query: What are different ways of connecting Manny Jacinto, the actor, and someone who is known for their work in the field of dance?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a cont... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["Manny Jacinto", "acted in", "The Good Place"],
["The Good Place", "choreographed by", "Jamal Sims"],
["Jamal Sims", "field of work", "dance"]
],
"2": [
["Manny Jacinto", "born in", "Vancouver"],
["Vancouver", "home to", "Vancouver Dance Centre"],
["Vancouver Dance Cent... |
Facets of Manny Jacinto:
1. Professional: Actor known for TV and films (e.g., The Good Place)
2. Awards/Honors: Nominations or awards if any (less known, but possibly)
3. Family/Personal: Parents, ethnic background (Filipino-Canadian)
4. Organizations: Memberships or affiliations (e.g., acting guilds)
5. Geography: Bo... | [
"\n\n<answer>{\n \"1\": [\n [\"Manny Jacinto\", \"acted in\", \"The Good Place\"],\n [\"The Good Place\", \"choreographed by\", \"Jamal Sims\"],\n [\"Jamal Sims\", \"field of work\", \"dance\"]\n ],\n \"2\": [\n [\"Manny Jacinto\", \"born in\", \"Vancouver\"],\n [\"Vancouver\", \"home to\", \"Vanc... | [
" [acted in] the good place | the good place [choreographed by] jamal sims | jamal sims [field of work] dance",
" [born in] vancouver | vancouver [home to] vancouver dance centre | vancouver dance centre [field of work] dance",
" [nationality] filipino canadian | filipino canadian [associated with] philippine b... | [[["manny jacinto", "acted in", "the good place"], ["the good place", "choreographed by", "jamal sims"], ["jamal sims", "field of work", "dance"]], [["manny jacinto", "born in", "vancouver"], ["vancouver", "home to", "vancouver dance centre"], ["vancouver dance centre", "field of work", "dance"]], [["manny jacinto", "n... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | 12 | 0.003346 | 28.17 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:34:53.750000 |
What are different ways of connecting Stephen McKinley Henderson, an accomplished actor, and someone who was trained by Afa Anoa'i? | Stephen McKinley Henderson | Afa Anoa'i | trained by | Query: What are different ways of connecting Stephen McKinley Henderson, an accomplished actor, and someone who was trained by Afa Anoa'i?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["Stephen McKinley Henderson", "acted in", "Fences (play)"],
["Fences (play)", "written by", "August Wilson"],
["August Wilson", "inspired", "WWE's cultural storytelling"],
["WWE", "trained by", "Afa Anoa'i"]
],
"2": [
["Stephen McKinley Henderson", "born in", "Kansas City, ... |
1. Enumerate facets of Stephen McKinley Henderson:
- Profession: Actor (stage, film, TV)
- Awards: Tony Award nominee, Drama Desk nominee
- Education: North Carolina Central University
- Theatre involvement: Broadway, especially plays by August Wilson
- Geography: Born in Kansas City, Missouri
- Collabor... | [
"\n\n<answer>{\n \"1\": [\n [\"Stephen McKinley Henderson\", \"acted in\", \"Fences (play)\"],\n [\"Fences (play)\", \"written by\", \"August Wilson\"],\n [\"August Wilson\", \"inspired\", \"WWE's cultural storytelling\"],\n [\"WWE\", \"trained by\", \"Afa Anoa'i\"]\n ],\n \"2\": [\n [\"Stephen Mc... | [
" [acted in] fences (play) | fences (play) [written by] august wilson | august wilson [inspired] wwe's cultural storytelling | wwe [trained by] afa anoa'i",
" [born in] kansas city, missouri | kansas city, missouri [hosts events by] wild samoan training center | wild samoan training center [founded by] afa anoa'i... | [[["stephen mckinley henderson", "acted in", "fences (play)"], ["fences (play)", "written by", "august wilson"], ["august wilson", "inspired", "wwe's cultural storytelling"], ["wwe", "trained by", "afa anoa'i"]], [["stephen mckinley henderson", "born in", "kansas city, missouri"], ["kansas city, missouri", "hosts event... | 12 | [
1,
1,
1,
1,
1,
0,
1,
1,
1,
1,
1,
1
] | 11 | 0.002777 | 27.23 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:35:20.977000 |
What are different ways of connecting Steven Ford, the American actor, and someone who has ancestral ties to the Kingdom of Great Britain? | Steven Ford | Kingdom of Great Britain | ancestral home | Query: What are different ways of connecting Steven Ford, the American actor, and someone who has ancestral ties to the Kingdom of Great Britain?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) fo... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["Steven Ford", "son of", "Gerald Ford"],
["Gerald Ford", "ancestral home", "Kingdom of Great Britain"]
],
"2": [
["Steven Ford", "mother", "Betty Ford"],
["Betty Ford", "ancestral home", "Kingdom of Great Britain"]
],
"3": [
["Steven Ford", "acted in", "When Things Were ... |
Enumerate facets of Steven Ford:
1. Family/personal: Son of Gerald Ford (38th US President), Betty Ford (First Lady).
2. Professional/occupational: Actor, appeared in films and TV shows.
3. Education: Attended University of California, Berkeley.
4. Geographic/place-based: Born in the United States, Midwest connections... | [
"\n<answer>{\n \"1\": [\n [\"Steven Ford\", \"son of\", \"Gerald Ford\"],\n [\"Gerald Ford\", \"ancestral home\", \"Kingdom of Great Britain\"]\n ],\n \"2\": [\n [\"Steven Ford\", \"mother\", \"Betty Ford\"],\n [\"Betty Ford\", \"ancestral home\", \"Kingdom of Great Britain\"]\n ],\n \"3\": [\n ... | [
" [son of] gerald ford | gerald ford [ancestral home] kingdom of great britain",
" [mother] betty ford | betty ford [ancestral home] kingdom of great britain",
" [acted in] when things were rotten | when things were rotten [set in] medieval england | medieval england [ancestral home] kingdom of great britain",
... | [[["steven ford", "son of", "gerald ford"], ["gerald ford", "ancestral home", "kingdom of great britain"]], [["steven ford", "mother", "betty ford"], ["betty ford", "ancestral home", "kingdom of great britain"]], [["steven ford", "acted in", "when things were rotten"], ["when things were rotten", "set in", "medieval en... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | 12 | 0.002286 | 20.66 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:35:41.640000 |
What are different ways of connecting Stephen Critchlow, a talented voice actor, and someone who is known for their work as a film actor? | Stephen Critchlow | film actor | occupation | Query: What are different ways of connecting Stephen Critchlow, a talented voice actor, and someone who is known for their work as a film actor?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) for... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>
{
"1": [
["Stephen Critchlow", "acted in", "Doctor Who audio dramas"],
["Doctor Who audio dramas", "featured actor", "David Tennant"],
["David Tennant", "occupation", "film actor"]
],
"2": [
["Stephen Critchlow", "member of", "Royal Shakespeare Company"],
["Royal Shakespeare Company"... |
1. Enumerate Stephen Critchlow facets:
- Profession: voice actor, radio actor, theatre actor, TV actor
- Collaboration: worked with Doctor Who franchise actors
- Geography: born in England; acted in UK productions
- Education: attended Liverpool John Moores University (he studied chemistry, but also did acting)
- Film... | [
"\n<answer>\n{\n \"1\": [\n [\"Stephen Critchlow\", \"acted in\", \"Doctor Who audio dramas\"],\n [\"Doctor Who audio dramas\", \"featured actor\", \"David Tennant\"],\n [\"David Tennant\", \"occupation\", \"film actor\"]\n ],\n \"2\": [\n [\"Stephen Critchlow\", \"member of\", \"Royal Shakespeare Co... | [
" [acted in] doctor who audio dramas | doctor who audio dramas [featured actor] david tennant | david tennant [occupation] film actor",
" [member of] royal shakespeare company | royal shakespeare company [employed actor] patrick stewart | patrick stewart [occupation] film actor",
" [acted with] david warner | d... | [[["stephen critchlow", "acted in", "doctor who audio dramas"], ["doctor who audio dramas", "featured actor", "david tennant"], ["david tennant", "occupation", "film actor"]], [["stephen critchlow", "member of", "royal shakespeare company"], ["royal shakespeare company", "employed actor", "patrick stewart"], ["patrick ... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
1
] | 11 | 0.002548 | 24.02 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:36:05.665000 |
"What are different ways of connecting David Koechner, the American actor and comedian, and someone (...TRUNCATED) | David Koechner | Newport Beach | place of birth | "Query: What are different ways of connecting David Koechner, the American actor and comedian, and s(...TRUNCATED) | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} | "<think>\nFacet enumeration for David Koechner: \n1. Professional: actor/comedian, roles in movies (...TRUNCATED) | ["<think>\nFacet enumeration for David Koechner: \n1. Professional: actor/comedian, roles in movies(...TRUNCATED) | [" [born in] kansas city, missouri | kansas city, missouri [sister city of] newport beach"," [acted (...TRUNCATED) | "[[[\"david koechner\", \"born in\", \"kansas city, missouri\"], [\"kansas city, missouri\", \"siste(...TRUNCATED) | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | 12 | 0.005164 | 51.45 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:36:57.118000 | |
"What are different ways of connecting Di Botcher, a television personality, and someone who is know(...TRUNCATED) | Di Botcher | television actor | occupation | "Query: What are different ways of connecting Di Botcher, a television personality, and someone who (...TRUNCATED) | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} | "<think>\n1. Enumerate facets of Di Botcher:\n - Professional: television personality and actress\(...TRUNCATED) | ["<think>\n1. Enumerate facets of Di Botcher:\n - Professional: television personality and actress(...TRUNCATED) | [" [acted in] torchwood | torchwood [cast includes] john barrowman | john barrowman [occupation] tel(...TRUNCATED) | "[[[\"di botcher\", \"acted in\", \"torchwood\"], [\"torchwood\", \"cast includes\", \"john barrowma(...TRUNCATED) | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | 12 | 0.002718 | 26.14 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:37:23.256000 |
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