Triple
T7259201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Jennifer Hudson Show |
E159602
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Corey Palent |
E159602
|
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: Corey Palent | Statement: [The Jennifer Hudson Show, executiveProducer, Corey Palent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Corey Palent Context triple: [The Jennifer Hudson Show, executiveProducer, Corey Palent]
-
A.
Corey Palent
chosen
Corey Palent is a television producer best known for serving as an executive producer of the daytime talk program "The Jennifer Hudson Show."
-
B.
Corey Graves
Corey Graves is a former professional wrestler best known today as a color commentator and on-air personality for WWE.
-
C.
Corey Britz
Corey Britz is an American bassist and musician best known for playing with the British rock band Bush.
-
D.
Corey Gaines
Corey Gaines is an American basketball coach and former player best known for leading the WNBA’s Phoenix Mercury to a championship as head coach.
-
E.
Jeff Corey
Jeff Corey was an American character actor and influential acting teacher known for his work in film and television from the 1940s through the 1990s.
- 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_69c68838f9948190875fd60b2351230c |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eac340a0819084015a5fbf7a5539 |
completed | March 27, 2026, 8:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7db175b188190beb5ba5ebb662c9b |
completed | March 28, 2026, 1:43 p.m. |
Created at: March 27, 2026, 2:57 p.m.