Triple
T22172195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Shrike |
E547949
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Whit Bissell |
—
|
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: Whit Bissell | Statement: [The Shrike, castMember, Whit Bissell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Whit Bissell Context triple: [The Shrike, castMember, Whit Bissell]
-
A.
Whit Bissell
chosen
Whit Bissell was an American character actor known for his prolific work in mid-20th-century film and television, often portraying doctors, military officers, and authority figures in science fiction and Westerns.
-
B.
Glen Whitmann
Glen Whitmann is a fast-talking computer hacker and conspiracy theorist character from the Transformers film series.
-
C.
Duane Whitaker
Duane Whitaker is an American actor, screenwriter, and director best known for his character roles in films like "Pulp Fiction" and his work in independent horror and crime cinema.
-
D.
Don Whitaker
Don Whitaker is a character in the comedy film "Daddy's Home 2," portrayed as one of the grandfathers whose arrival escalates the family’s holiday chaos.
-
E.
Roger Whitaker
Roger Whitaker is a notable individual, likely recognized for significant contributions or public prominence in his field.
- 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_69e11e3d53f88190a2b690e3f25bb062 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a69c12c8190a03177b5b740456a |
completed | April 28, 2026, 9:45 p.m. |
Created at: April 16, 2026, 8:34 p.m.