Triple
T21117095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CBGB (film) |
E520326
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Michael J. Ozier |
—
|
NE NERFINISHED |
How this triple was built (3 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: Michael J. Ozier | Statement: [CBGB (film), cinematographyBy, Michael J. Ozier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael J. Ozier Context triple: [CBGB (film), cinematographyBy, Michael J. Ozier]
-
A.
Daniel M. Ziegler
Daniel M. Ziegler is a researcher known for co-authoring influential work in artificial intelligence and machine learning, including large language model research.
-
B.
Michael E. Bakich
Michael E. Bakich is an American astronomy writer, editor, and popularizer of observational astronomy, long associated with Astronomy magazine.
-
C.
Michael A. Helfant
Michael A. Helfant is a film producer and entertainment executive known for his work on genre and thriller projects, including the 2013 crime thriller "The Call."
-
D.
Michael Kozoll
Michael Kozoll is an American television writer and producer best known for co-creating the influential police drama series "Hill Street Blues."
-
E.
Max E. Youngstein
Max E. Youngstein was an American film producer and studio executive known for his influential role at United Artists and for producing notable Cold War-era films.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael J. Ozier Target entity description: Michael J. Ozier is a cinematographer best known for his work on the film "CBGB," which chronicles the iconic New York punk rock club.
-
A.
Daniel M. Ziegler
Daniel M. Ziegler is a researcher known for co-authoring influential work in artificial intelligence and machine learning, including large language model research.
-
B.
Michael E. Bakich
Michael E. Bakich is an American astronomy writer, editor, and popularizer of observational astronomy, long associated with Astronomy magazine.
-
C.
Michael A. Helfant
Michael A. Helfant is a film producer and entertainment executive known for his work on genre and thriller projects, including the 2013 crime thriller "The Call."
-
D.
Michael Kozoll
Michael Kozoll is an American television writer and producer best known for co-creating the influential police drama series "Hill Street Blues."
-
E.
Max E. Youngstein
Max E. Youngstein was an American film producer and studio executive known for his influential role at United Artists and for producing notable Cold War-era films.
- F. None of above. chosen
Provenance (2 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_69e0b50a623881909c0bbaf4f2c055e7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72106a3b48190a0efa51a74ae21f0 |
completed | April 21, 2026, 7:02 a.m. |
Created at: April 16, 2026, 2:55 p.m.