Triple
T19118561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeff Corey |
E467975
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jeff Corey |
—
|
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: Jeff Corey | Statement: [Jeff Corey, name, Jeff Corey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeff Corey Context triple: [Jeff Corey, name, Jeff Corey]
-
A.
Jeff Corey
chosen
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.
-
B.
Lewis Corey
Lewis Corey was the pen name of Louis Fraina, an Italian-born American Marxist theorist, writer, and early leader in the U.S. communist movement.
-
C.
Corey James
Corey James is a character from the TV series "All American," known as the estranged father of the main protagonist, Spencer James.
-
D.
Corey Graves
Corey Graves is a former professional wrestler best known today as a color commentator and on-air personality for WWE.
-
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_69d8dd06a26481908039e2a1bae8c597 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e3c756a88190942930e6ae7242a7 |
completed | April 20, 2026, 8:28 a.m. |
Created at: April 10, 2026, 12:05 p.m.