Triple
T7497881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Broken Trail |
E177178
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object |
Butch Kaplan
Butch Kaplan is a film and television producer known for his work on projects such as the Western miniseries "Broken Trail."
|
E671779
|
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: Butch Kaplan | Statement: [Broken Trail, executiveProducer, Butch Kaplan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Butch Kaplan Context triple: [Broken Trail, executiveProducer, Butch Kaplan]
-
A.
Bud Brigman
Bud Brigman is the deep-sea oil rig foreman and central protagonist in James Cameron's science fiction film "The Abyss."
-
B.
David Bonderman
David Bonderman is an American billionaire businessman and private equity investor, best known as a founding partner of TPG Capital and as a prominent owner of major professional sports franchises.
-
C.
Sol Kaplan
Sol Kaplan was an American composer best known for his film and television scores, including work in mid-20th-century Hollywood.
-
D.
Hank Kaplan
Hank Kaplan is a fictional character from the American medical drama television series "Nurses."
-
E.
Ray Cusick
Ray Cusick was a British designer best known for creating the iconic look of the Daleks in the long-running science fiction television series Doctor Who.
- 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: Butch Kaplan Triple: [Broken Trail, executiveProducer, Butch Kaplan]
Generated description
Butch Kaplan is a film and television producer known for his work on projects such as the Western miniseries "Broken Trail."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Butch Kaplan Target entity description: Butch Kaplan is a film and television producer known for his work on projects such as the Western miniseries "Broken Trail."
-
A.
Bud Brigman
Bud Brigman is the deep-sea oil rig foreman and central protagonist in James Cameron's science fiction film "The Abyss."
-
B.
David Bonderman
David Bonderman is an American billionaire businessman and private equity investor, best known as a founding partner of TPG Capital and as a prominent owner of major professional sports franchises.
-
C.
Sol Kaplan
Sol Kaplan was an American composer best known for his film and television scores, including work in mid-20th-century Hollywood.
-
D.
Hank Kaplan
Hank Kaplan is a fictional character from the American medical drama television series "Nurses."
-
E.
Ray Cusick
Ray Cusick was a British designer best known for creating the iconic look of the Daleks in the long-running science fiction television series Doctor Who.
- 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_69c69f2696688190915a8458f2398211 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5963d98819098275b161848d2d4 |
completed | March 27, 2026, 9:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84eefbcec8190bef282452aaf5515 |
completed | March 28, 2026, 9:58 p.m. |
| NEDg | Description generation | batch_69c850b5b77c8190abab52a634a918f7 |
completed | March 28, 2026, 10:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8510c66d8819095f442f6acf52e32 |
completed | March 28, 2026, 10:07 p.m. |
Created at: March 27, 2026, 3:44 p.m.