Triple

T13446286
Position Surface form Disambiguated ID Type / Status
Subject Our House E320492 entity
Predicate character P662 FINISHED
Object Gus Witherspoon E320496 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: Gus Witherspoon | Statement: [Our House, character, Gus Witherspoon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gus Witherspoon
Context triple: [Our House, character, Gus Witherspoon]
  • A. Gus Witherspoon chosen
    Gus Witherspoon is the gruff but warm-hearted grandfather and family patriarch played by Wilford Brimley on the 1980s television drama "Our House."
  • B. Jack Givens
    Jack Givens is a former American basketball player best known for starring at the University of Kentucky, where he led the Wildcats to the 1978 NCAA championship and was named the Final Four Most Outstanding Player.
  • C. Jonathan Banks
    Jonathan Banks is an American character actor best known for his acclaimed portrayal of fixer Mike Ehrmantraut in the television dramas Breaking Bad and Better Call Saul.
  • D. Ryan Walter
    Ryan Walter is a former Canadian NHL center and Stanley Cup champion who later became a coach and broadcaster.
  • E. Bokeem Woodbine
    Bokeem Woodbine is an American actor known for his intense character roles in film and television, including standout performances in projects like "Fargo" and "Spider-Man: Homecoming."
  • 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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaef5f610819092cad33ef72075ff completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f73998221c8190a2d8982a3da28ec9 completed May 3, 2026, 12:03 p.m.
Created at: April 9, 2026, 9:40 p.m.