Triple
T15904463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corey Feldman |
E385673
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Corey |
E979668
|
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 Feldman, givenName, Corey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Corey Context triple: [Corey Feldman, givenName, Corey]
-
A.
Corey
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
Corey is the given first name of professional basketball player Jae Crowder, known for his defensive versatility and three-point shooting in the NBA.
-
D.
Corey
chosen
Corey is a common given name, notably borne by American professional baseball player Corey Seager.
-
E.
Corey Graves
Corey Graves is a former professional wrestler best known today as a color commentator and on-air personality for WWE.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1563f74d88190a3d92ca0ad46e867 |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb051a05081908c349cd9a1ff247a |
completed | May 9, 2026, 10:08 p.m. |
Created at: April 10, 2026, 4:52 a.m.