Triple
T539067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rocky II |
E12388
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Bill Butler |
E33313
|
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: Bill Butler | Statement: [Rocky II, cinematographyBy, Bill Butler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bill Butler Context triple: [Rocky II, cinematographyBy, Bill Butler]
-
A.
Bill Butler
chosen
Bill Butler was an acclaimed American cinematographer best known for his influential work on landmark films of the 1970s and 1980s.
-
B.
Mike Sullivan
Mike Sullivan is an American professional ice hockey coach best known for leading the Pittsburgh Penguins to multiple Stanley Cup championships.
-
C.
Denis McDonough
Denis McDonough is an American political advisor who served as White House Chief of Staff under President Barack Obama.
-
D.
John Sullivan
John Sullivan was an American general and political leader who played a prominent role in the Continental Army during the American Revolutionary War.
-
E.
Tom Maher
Tom Maher is an accomplished Australian basketball coach renowned for leading multiple national women’s teams at the Olympics and coaching professionally in leagues such as the WNBA.
- 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_69a4933208e88190891f5debab1b776d |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a496dd31c88190b3114805aa31931c |
completed | March 1, 2026, 7:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a50e219c788190888ef02fad09096e |
completed | March 2, 2026, 4:12 a.m. |
Created at: March 1, 2026, 7:32 p.m.