Triple
T7163517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kori |
E167006
|
entity |
| Predicate | relatedName |
P3889
|
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: [Kori, relatedName, Corey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Corey Context triple: [Kori, relatedName, 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 Graves
Corey Graves is a former professional wrestler best known today as a color commentator and on-air personality for WWE.
-
C.
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.
-
D.
Corey Allen
Corey Allen was an American actor and director best known for his role as the gang leader Buzz Gunderson in the classic 1955 film "Rebel Without a Cause."
-
E.
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.
- 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_69c68888c10c819095e0383020225758 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e82feee481908fa180ea8c9924fa |
completed | March 27, 2026, 8:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7adc8b06c81909791e38becb594f6 |
completed | March 28, 2026, 10:30 a.m. |
Created at: March 27, 2026, 2:47 p.m.