Triple
T19797611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Producers (1967 film) |
E475583
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Sidney Glazier |
—
|
NE NERFINISHED |
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: Sidney Glazier | Statement: [The Producers (1967 film), producer, Sidney Glazier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sidney Glazier Context triple: [The Producers (1967 film), producer, Sidney Glazier]
-
A.
Sidney Glazier
chosen
Sidney Glazier was an American film producer best known for his work on notable comedies, including collaborations with Mel Brooks.
-
B.
Roy Colsey
Roy Colsey is a former American lacrosse midfielder renowned for his standout collegiate career at Syracuse University and subsequent success as a professional player.
-
C.
James K. Hahn
James K. Hahn is an American politician and attorney who served as the 40th mayor of Los Angeles from 2001 to 2005.
-
D.
Edward G. Hochuli
Edward G. Hochuli is a retired American NFL referee and attorney, widely known for his long tenure in the league and his detailed on-field penalty explanations.
-
E.
Grant S. Johnson
Grant S. Johnson is a film producer known for his work on the critically acclaimed drama "May December."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653c877288190b56ee7eedea710a3 |
completed | April 20, 2026, 4:26 p.m. |
Created at: April 10, 2026, 1:49 p.m.