Triple
T1227552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cinderella Man |
E26359
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Brian Grazer |
E19008
|
NE FINISHED |
How this triple was built (2 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: Brian Grazer | Statement: [Cinderella Man, producer, Brian Grazer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brian Grazer Context triple: [Cinderella Man, producer, Brian Grazer]
-
A.
Brian Grazer
chosen
Brian Grazer is an American film and television producer and co-founder of Imagine Entertainment, known for producing acclaimed movies and TV series such as A Beautiful Mind, Apollo 13, and Arrested Development.
-
B.
Joel Silver
Joel Silver is a prominent American film producer known for high-octane action and genre-defining hits such as the "Lethal Weapon" and "The Matrix" franchises.
-
C.
Thomas Grazer
Thomas Grazer is the son of acclaimed American film and television producer Brian Grazer.
-
D.
Charles Roven
Charles Roven is an American film producer known for his work on major Hollywood blockbusters, including Christopher Nolan’s films such as Oppenheimer and The Dark Knight trilogy.
-
E.
David Heyman
David Heyman is a British film producer best known for originating and producing the Harry Potter film series and other major studio franchises.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a49484688c8190a1bf285eb396a8b6 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be3b32a08190a36e96a3e51976eb |
completed | March 1, 2026, 10:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad231d1bdc8190bceaafcf86544bf1 |
completed | March 8, 2026, 7:19 a.m. |
Created at: March 1, 2026, 7:47 p.m.