Triple
T2658425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Basketball Diaries |
E54668
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object |
Bruce Green
Bruce Green is a film editor known for his work on feature films including the 1995 drama "The Basketball Diaries."
|
E286424
|
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: Bruce Green | Statement: [The Basketball Diaries, editor, Bruce Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bruce Green Context triple: [The Basketball Diaries, editor, Bruce Green]
-
A.
Craig Greenberg
Craig Greenberg is an American businessman, attorney, and Democratic politician serving as the mayor of Louisville, Kentucky.
-
B.
Craig Green
Craig Green is a former New Zealand rugby union wing who was a prolific try-scorer for the All Blacks in the mid-1980s.
-
C.
Brian Goodman
Brian Goodman is an American actor and director known for his character roles in film and television, including a notable part in the crime drama series "Rizzoli & Isles."
-
D.
Matt Greenberg
Matt Greenberg is a screenwriter and film producer known for his work on various horror and thriller projects in American cinema.
-
E.
Robin Green
Robin Green is an American television writer and producer best known for her work on acclaimed series such as *The Sopranos*.
- 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: Bruce Green Triple: [The Basketball Diaries, editor, Bruce Green]
Generated description
Bruce Green is a film editor known for his work on feature films including the 1995 drama "The Basketball Diaries."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bruce Green Target entity description: Bruce Green is a film editor known for his work on feature films including the 1995 drama "The Basketball Diaries."
-
A.
Craig Greenberg
Craig Greenberg is an American businessman, attorney, and Democratic politician serving as the mayor of Louisville, Kentucky.
-
B.
Craig Green
Craig Green is a former New Zealand rugby union wing who was a prolific try-scorer for the All Blacks in the mid-1980s.
-
C.
Brian Goodman
Brian Goodman is an American actor and director known for his character roles in film and television, including a notable part in the crime drama series "Rizzoli & Isles."
-
D.
Matt Greenberg
Matt Greenberg is a screenwriter and film producer known for his work on various horror and thriller projects in American cinema.
-
E.
Robin Green
Robin Green is an American television writer and producer best known for her work on acclaimed series such as *The Sopranos*.
- 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_69ab49e028948190b97e01d73548b1d9 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd94dcaa48190aec625f68ce61a02 |
completed | March 7, 2026, 7:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af98d535388190979a549dc2ce5f2f |
completed | March 10, 2026, 4:06 a.m. |
| NEDg | Description generation | batch_69af99c237548190838559ccac95f1c5 |
completed | March 10, 2026, 4:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af9a5938b48190820f37f2e2280438 |
completed | March 10, 2026, 4:13 a.m. |
Created at: March 6, 2026, 9:53 p.m.