Triple
T6642947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belle Bennett |
E150630
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Howard Ralph Macy |
E150630
|
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: Howard Ralph Macy | Statement: [Belle Bennett, spouse, Howard Ralph Macy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Howard Ralph Macy Context triple: [Belle Bennett, spouse, Howard Ralph Macy]
-
A.
Howard Ralph Macy
chosen
Howard Ralph Macy was the husband of American silent film and stage actress Belle Bennett.
-
B.
Norm Sloan
Norm Sloan was an American college basketball coach best known for leading NC State to the 1974 NCAA championship and later coaching the Florida Gators.
-
C.
Norman Wooland
Norman Wooland was a British character actor known for his supporting roles in mid-20th-century films, particularly in Shakespearean and historical dramas.
-
D.
Fred Quimby
Fred Quimby was an American film producer best known for overseeing and winning multiple Oscars for the classic Tom and Jerry animated shorts at MGM.
-
E.
Jesse L. Lasky
Jesse L. Lasky was a pioneering American film producer and co-founder of Paramount Pictures who played a key role in the development of early Hollywood cinema.
- 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_69c687f1a3048190828b7342f7125d5c |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6aff749d48190bf24d448daf13bc7 |
completed | March 27, 2026, 4:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cbf9c57c8190b617d21bb2b46b1e |
completed | March 27, 2026, 6:27 p.m. |
Created at: March 27, 2026, 2 p.m.