Triple
T15533971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Privileged |
E370294
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Bob Levy |
E600931
|
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 Levy | Statement: [Privileged, executiveProducer, Bob Levy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bob Levy Context triple: [Privileged, executiveProducer, Bob Levy]
-
A.
Bob Levy
chosen
Bob Levy is a television producer best known for his executive production work on popular series such as The Vampire Diaries.
-
B.
Michael Levy
Michael Levy is a film producer known for his work on the action-crime drama movie "Waist Deep."
-
C.
Sam Levy
Sam Levy is an American cinematographer best known for his frequent collaborations with director Noah Baumbach and his work on acclaimed independent films.
-
D.
Dave Trager
Dave Trager was a sports executive best known for owning the early NBA franchise that became the Chicago Packers.
-
E.
John Heyman
John Heyman was a British film and television producer and financier known for backing and producing a range of notable international films from the 1960s onward.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e0414877d88190804ee76566004e13 |
completed | April 16, 2026, 1:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d5e82a48190bb0a10ebc2412129 |
completed | May 9, 2026, 1:57 p.m. |
Created at: April 10, 2026, 4:06 a.m.