Triple
T9906404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | When We Rise |
E185022
|
entity |
| Predicate | executiveProducer |
P7225
|
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: [When We Rise, executiveProducer, Bruce Cohen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bruce Cohen Context triple: [When We Rise, executiveProducer, 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.
Andrew Cohen
Andrew Cohen is an entrepreneur best known as a founder of the wireless technology company Qualcomm.
-
D.
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.
-
E.
Rob Cohen
Rob Cohen is an American film director and producer best known for helming high-profile action and adventure movies such as "The Fast and the Furious" and "xXx."
- 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_69ca8296165881908ca4750701af1f29 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb50cf8808190a41e565216712704 |
completed | April 2, 2026, 12:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b5c126c081909a072034fde64a04 |
completed | April 5, 2026, 7:19 p.m. |
Created at: March 30, 2026, 8:40 p.m.