Triple
T22090122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shootout at Candyland |
E545890
|
entity |
| Predicate | antagonist |
P4675
|
FINISHED |
| Object | Calvin Candie |
—
|
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: Calvin Candie | Statement: [Shootout at Candyland, antagonist, Calvin Candie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Calvin Candie Context triple: [Shootout at Candyland, antagonist, Calvin Candie]
-
A.
Calvin Candie
chosen
Calvin Candie is a sadistic and flamboyant Southern plantation owner who serves as the main antagonist in Quentin Tarantino's film "Django Unchained."
-
B.
Countee LeRoy Porter
Countee LeRoy Porter, better known as Countee Cullen, was a prominent American poet and leading figure of the Harlem Renaissance.
-
C.
William Devaynes
William Devaynes was a British politician and merchant active in the late 18th century, known for his involvement in imperial and commercial ventures.
-
D.
Clarence Boddicker
Clarence Boddicker is the sadistic crime boss and primary human antagonist in the 1987 science fiction action film "RoboCop."
-
E.
Cecil Gaines
Cecil Gaines is the fictionalized African-American White House butler whose life story, spanning decades of service to multiple U.S. presidents, is portrayed in the film "The Butler."
- 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_69e11e36d03c8190a83a1ba802b7231b |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128e53dfc81909858cdad8b09c5fb |
completed | April 28, 2026, 9:38 p.m. |
Created at: April 16, 2026, 8:29 p.m.