Triple
T10442216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corey Hawkins |
E246196
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Corey |
E469907
|
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 | Statement: [Corey Hawkins, givenName, Corey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Corey Context triple: [Corey Hawkins, givenName, Corey]
-
A.
Corey
chosen
Corey is a surname most notably associated with E. J. Corey, a Nobel Prize–winning American chemist renowned for his pioneering work in organic synthesis.
-
B.
Corey
Corey is the increasingly paranoid and self-serving astronaut in the classic The Twilight Zone episode "I Shot an Arrow into the Air."
-
C.
Corey Graves
Corey Graves is a former professional wrestler best known today as a color commentator and on-air personality for WWE.
-
D.
Corey Mason
Corey Mason is an idealistic and ambitious young employee at the independent record store in the 1995 cult film "Empire Records," known for her perfectionism and romantic entanglements.
-
E.
Corey Sienega
Corey Sienega is a film producer best known for her work on genre and independent movies, including the psychological horror-thriller "Frailty."
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fb9ebf488190ae776bd65e94cb00 |
completed | April 7, 2026, 12:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87ee0c2208190ae8d51a2a89a2586 |
completed | April 10, 2026, 4:38 a.m. |
Created at: April 6, 2026, 12:15 p.m.