Triple
T6161660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dallas Buyers Club |
E137456
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Craig Borten
Craig Borten is an American screenwriter best known for co-writing the acclaimed biographical drama film "Dallas Buyers Club."
|
E593045
|
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: Craig Borten | Statement: [Dallas Buyers Club, screenwriter, Craig Borten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Craig Borten Context triple: [Dallas Buyers Club, screenwriter, Craig Borten]
-
A.
Bryan Devendorf
Bryan Devendorf is an American drummer best known as a founding member and rhythmic backbone of the indie rock band The National.
-
B.
Kevin Nolting
Kevin Nolting is an American film editor best known for his work on Pixar animated features, including the Academy Award-winning film "Up."
-
C.
Christopher Tellefsen
Christopher Tellefsen is an American film editor known for his work on acclaimed movies such as "A Quiet Place," "Moneyball," and "Capote."
-
D.
Brett Hedblom
Brett Hedblom is a television producer best known for his executive production work on the Netflix drama series "Maid."
-
E.
Ken Schretzmann
Ken Schretzmann is a film editor known for his work on major animated features, including Guillermo del Toro's stop-motion adaptation of Pinocchio.
- 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: Craig Borten Triple: [Dallas Buyers Club, screenwriter, Craig Borten]
Generated description
Craig Borten is an American screenwriter best known for co-writing the acclaimed biographical drama film "Dallas Buyers Club."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Craig Borten Target entity description: Craig Borten is an American screenwriter best known for co-writing the acclaimed biographical drama film "Dallas Buyers Club."
-
A.
Bryan Devendorf
Bryan Devendorf is an American drummer best known as a founding member and rhythmic backbone of the indie rock band The National.
-
B.
Kevin Nolting
Kevin Nolting is an American film editor best known for his work on Pixar animated features, including the Academy Award-winning film "Up."
-
C.
Christopher Tellefsen
Christopher Tellefsen is an American film editor known for his work on acclaimed movies such as "A Quiet Place," "Moneyball," and "Capote."
-
D.
Brett Hedblom
Brett Hedblom is a television producer best known for his executive production work on the Netflix drama series "Maid."
-
E.
Ken Schretzmann
Ken Schretzmann is a film editor known for his work on major animated features, including Guillermo del Toro's stop-motion adaptation of Pinocchio.
- 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_69c008a54fc88190b6ce4416490ca79d |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d371484819090c18b62b095b49e |
completed | March 22, 2026, 9:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c640a09c60819087f3dad6d6ac6833 |
completed | March 27, 2026, 8:32 a.m. |
| NEDg | Description generation | batch_69c6426e46bc8190b114dd4f26d31e60 |
completed | March 27, 2026, 8:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6431c55fc8190ab028fe93a7895ca |
completed | March 27, 2026, 8:43 a.m. |
Created at: March 22, 2026, 4:17 p.m.