Triple
T2967776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | O.J.: Made in America |
E80206
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Ezra Edelman |
E314155
|
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: Ezra Edelman | Statement: [O.J.: Made in America, producer, Ezra Edelman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ezra Edelman Context triple: [O.J.: Made in America, producer, Ezra Edelman]
-
A.
Ezra Edelman
chosen
Ezra Edelman is an American documentary filmmaker best known for his acclaimed, Oscar-winning multi-part film "O.J.: Made in America."
-
B.
Hugh Addonizio
Hugh Addonizio was an American politician who served as mayor of Newark, New Jersey during the 1960s and was later convicted on federal corruption charges.
-
C.
Mark Daboll
Mark Daboll is a member of the Daboll family, related to NFL head coach Brian Daboll.
-
D.
Murray Edelman
Murray Edelman was an American political scientist best known for his influential work on political symbolism and the construction of political reality.
-
E.
Stuart Heisler
Stuart Heisler was an American film and television director known for his work in Hollywood from the 1930s through the 1960s, including dramas, thrillers, and war films.
- 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_69ad8b14ffe881908ffed62f9595c867 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad996fa4388190abd319c69ee583d9 |
completed | March 8, 2026, 3:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12e27863881909c1c4b26e030e4bf |
completed | March 11, 2026, 8:56 a.m. |
Created at: March 8, 2026, 2:58 p.m.