Triple
T5039506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Top Gun |
E113509
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Jerry Bruckheimer |
E112093
|
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: Jerry Bruckheimer | Statement: [Top Gun, producer, Jerry Bruckheimer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jerry Bruckheimer Context triple: [Top Gun, producer, Jerry Bruckheimer]
-
A.
Jerry Bruckheimer
chosen
Jerry Bruckheimer is a prolific American film and television producer known for high-octane blockbusters such as Top Gun, Pirates of the Caribbean, and the CSI franchise.
-
B.
Linda Bruckheimer
Linda Bruckheimer is an American novelist, photographer, and preservationist known for her work celebrating and restoring historic sites, particularly in her native Kentucky.
-
C.
Robert Shaye
Robert Shaye is an American film executive and producer best known as the founder of New Line Cinema, which he built into a major independent movie studio.
-
D.
Bonnie Bruckheimer
Bonnie Bruckheimer is an American film producer best known for her work on popular Hollywood dramas and comedies, including the hit film "Beaches."
-
E.
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.
- 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_69bd44384298819089c49e7c330ec7b8 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73dbf00c819094b67809dafdecc6 |
completed | March 20, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea47c5f808190821d7f708003a07d |
completed | March 21, 2026, 2 p.m. |
Created at: March 20, 2026, 1:37 p.m.