Triple
T13831066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buried |
E332398
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Paul Conroy
Paul Conroy is the fictional American truck driver who becomes trapped in a coffin underground in the psychological thriller film "Buried."
|
E1077795
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Paul Conroy | Statement: [Buried, mainCharacter, Paul Conroy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Conroy Context triple: [Buried, mainCharacter, Paul Conroy]
-
A.
Paul Conrad
Paul Conrad was a prominent American political cartoonist renowned for his sharp, liberal-leaning commentary and long tenure at the Los Angeles Times.
-
B.
Jeff Conroy
Jeff Conroy is a television producer best known for his executive production work on the reality series "Storage Wars."
-
C.
Edward Connelly
Edward Connelly was an American character actor of the silent film era, known for his supporting roles in numerous early Hollywood productions.
-
D.
Paul Corrigan
Paul Corrigan is a television writer and producer best known for his work on popular sitcoms such as "Modern Family" and other acclaimed comedy series.
-
E.
Kevin Harkey
Kevin Harkey is an American animator and storyboard artist best known for his story work on Disney animated features, including the 1991 classic "Beauty and the Beast."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Paul Conroy Triple: [Buried, mainCharacter, Paul Conroy]
Generated description
Paul Conroy is the fictional American truck driver who becomes trapped in a coffin underground in the psychological thriller film "Buried."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Paul Conroy Target entity description: Paul Conroy is the fictional American truck driver who becomes trapped in a coffin underground in the psychological thriller film "Buried."
-
A.
Paul Conrad
Paul Conrad was a prominent American political cartoonist renowned for his sharp, liberal-leaning commentary and long tenure at the Los Angeles Times.
-
B.
Jeff Conroy
Jeff Conroy is a television producer best known for his executive production work on the reality series "Storage Wars."
-
C.
Edward Connelly
Edward Connelly was an American character actor of the silent film era, known for his supporting roles in numerous early Hollywood productions.
-
D.
Paul Corrigan
Paul Corrigan is a television writer and producer best known for his work on popular sitcoms such as "Modern Family" and other acclaimed comedy series.
-
E.
Kevin Harkey
Kevin Harkey is an American animator and storyboard artist best known for his story work on Disney animated features, including the 1991 classic "Beauty and the Beast."
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0299334481908c2b271eaf06e4b7 |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb648146c8190842a3da4e4c0e217 |
completed | May 7, 2026, 3:56 p.m. |
| NEDg | Description generation | batch_69fcc51bf140819097bb29bbaf766dcc |
completed | May 7, 2026, 5 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcc61353d481908192a1e2f44e6a94 |
completed | May 7, 2026, 5:04 p.m. |
Created at: April 9, 2026, 10:13 p.m.