Triple
T21207654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corey Carrier |
E522630
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Corey Carrier |
—
|
NE NERFINISHED |
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 Carrier | Statement: [Corey Carrier, name, Corey Carrier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Corey Carrier Context triple: [Corey Carrier, name, Corey Carrier]
-
A.
Corey Carrier
chosen
Corey Carrier is an American former child actor best known for portraying the young Indiana Jones in the television series "The Young Indiana Jones Chronicles."
-
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 Rusk
Corey Rusk is an American musician and influential independent record executive best known for running the seminal punk and alternative label Touch and Go Records.
-
D.
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.
-
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 (2 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_69e0b5112d8881909510b2dcdc93106d |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e734362c788190bc1b96d3b84c0ad1 |
completed | April 21, 2026, 8:24 a.m. |
Created at: April 16, 2026, 3:24 p.m.