Triple
T22574003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Win It All |
E544345
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Eddie Garrett |
—
|
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: Eddie Garrett | Statement: [Win It All, mainCharacter, Eddie Garrett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eddie Garrett Context triple: [Win It All, mainCharacter, Eddie Garrett]
-
A.
Eddie Garrett
chosen
Eddie Garrett is a compulsive gambler and small-time hustler who becomes entangled in a risky scheme in the film "Win It All."
-
B.
Eddie Holbrook
Eddie Holbrook is an American politician who served as a member of the North Carolina Senate and was known for his involvement in state and local government.
-
C.
Eddie Harwood
Eddie Harwood is a fictional character, typically portrayed as a suave but morally ambiguous figure entangled in crime and romantic intrigue in classic film noir.
-
D.
Eddie Dyer
Eddie Dyer was an American Major League Baseball manager and former player best known for leading the St. Louis Cardinals to a championship in the mid-1940s.
-
E.
Eddy Mitchell
Eddy Mitchell is a French singer, actor, and former rock and roll icon known for his long music career and numerous film roles.
- 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_69e11e30d05481909df915354c89f0d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f15fea683c81908fbf9f171eed3341 |
completed | April 29, 2026, 1:33 a.m. |
Created at: April 16, 2026, 8:53 p.m.