Triple

T6967147
Position Surface form Disambiguated ID Type / Status
Subject Alf Garnett E161518 entity
Predicate portrayedBy P1507 FINISHED
Object Warren Mitchell E248606 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: Warren Mitchell | Statement: [Alf Garnett, portrayedBy, Warren Mitchell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warren Mitchell
Context triple: [Alf Garnett, portrayedBy, Warren Mitchell]
  • A. Warren Mitchell chosen
    Warren Mitchell was a British actor best known for his portrayal of the outspoken Alf Garnett in the television sitcom "Till Death Us Do Part."
  • B. Jack B. Sowards
    Jack B. Sowards was an American screenwriter best known for writing the screenplay for the film Star Trek II: The Wrath of Khan.
  • C. Marc McClure
    Marc McClure is an American actor best known for playing Jimmy Olsen in the Superman film series and Dave McFly in the Back to the Future trilogy.
  • D. John McIntire
    John McIntire was an American character actor known for his distinctive deep voice and roles in Western films and television, as well as voice work in classic Disney animated features.
  • E. Lester Burdon
    Lester Burdon is a conflicted police officer whose personal and moral struggles drive much of the tension and tragedy in the novel and film "House of Sand and Fog."
  • 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_69c68853cff881908439d488924a8283 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db1373d88190967b42630f8688d6 completed March 27, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b8b9a0e881909ee8f92ecb6fef66 completed March 28, 2026, 11:17 a.m.
Created at: March 27, 2026, 2:30 p.m.