Triple
T16840534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Awake |
E409396
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Bob Yari |
E377881
|
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: Bob Yari | Statement: [Awake, producer, Bob Yari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bob Yari Context triple: [Awake, producer, Bob Yari]
-
A.
Bob Yari
chosen
Bob Yari is an Iranian-American film producer and real estate developer best known for financing and producing numerous independent and prestige films.
-
B.
Rick Yune
Rick Yune is an American actor and martial artist known for his roles in action films such as "The Fast and the Furious" and "Die Another Day."
-
C.
Tony Yayo
Tony Yayo is an American rapper best known as a member of 50 Cent’s hip hop group G-Unit.
-
D.
Barret Zoph
Barret Zoph is a machine learning researcher known for his work on neural architecture search and contributions to deep learning at Google Brain.
-
E.
Sol Yurick
Sol Yurick was an American novelist and social critic best known for his 1965 gang novel "The Warriors," which was later adapted into the cult classic film of the same name.
- 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b3508ecc81909c0af299e07f4b31 |
completed | April 18, 2026, 4:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb177e288190b525e6d239892d26 |
completed | May 10, 2026, 5:06 p.m. |
Created at: April 10, 2026, 5:24 a.m.