Triple
T9217274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corey Allen |
E221272
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Corey Allen |
E221272
|
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 Allen | Statement: [Corey Allen, name, Corey Allen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Corey Allen Context triple: [Corey Allen, name, Corey Allen]
-
A.
Corey Allen
chosen
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."
-
B.
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.
-
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 Palent
Corey Palent is a television producer best known for serving as an executive producer of the daytime talk program "The Jennifer Hudson Show."
-
E.
Corey May
Corey May is a video game writer and narrative designer best known for his work on the Assassin's Creed series.
- 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_69ca83eae42c8190a0ea9e040710a277 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda0ae3d081908ff3f5dab52df5ae |
completed | April 1, 2026, 8:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0661c4c2c8190bc5be991a3a75f2b |
completed | April 4, 2026, 1:15 a.m. |
Created at: March 30, 2026, 7:27 p.m.