Triple
T12389198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MouseHunt (1997 film) |
E295947
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Bruce Cohen |
E102051
|
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: Bruce Cohen | Statement: [MouseHunt (1997 film), producer, Bruce Cohen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bruce Cohen Context triple: [MouseHunt (1997 film), producer, Bruce Cohen]
-
A.
Bruce Cohen
chosen
Bruce Cohen is an American film and television producer best known for his work on acclaimed films such as "American Beauty" and "Silver Linings Playbook."
-
B.
Jon Cohen
Jon Cohen is a screenwriter best known for co-writing the science fiction film "Minority Report."
-
C.
Brad Cohen
Brad Cohen is an American physician and politician who serves as the mayor of East Brunswick, New Jersey.
-
D.
Andrew Cohen
Andrew Cohen is an entrepreneur best known as a founder of the wireless technology company Qualcomm.
-
E.
Andrew Cohen
Andrew Cohen is a theoretical physicist known for his work in particle physics and for being one of Howard Georgi’s prominent students.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fcf6aa8819080c9a2407a72db2e |
completed | April 10, 2026, 6:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63ef7fabc819090837c11c4c34651 |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:54 p.m.