Triple
T13629906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | True Grit (1969 film) |
E325685
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Jeff Corey |
E467975
|
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: Jeff Corey | Statement: [True Grit (1969 film), starring, Jeff Corey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeff Corey Context triple: [True Grit (1969 film), starring, 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.
Corey Graves
Corey Graves is a former professional wrestler best known today as a color commentator and on-air personality for WWE.
-
C.
Corey Sienega
Corey Sienega is a film producer best known for her work on genre and independent movies, including the psychological horror-thriller "Frailty."
-
D.
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.
-
E.
Corey Carrier
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."
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbe9ea9088190a17270dec82bbcaa |
completed | April 12, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac7a1ee88190951de590a4a07d6f |
completed | May 6, 2026, 9:02 p.m. |
Created at: April 9, 2026, 9:51 p.m.