Triple

T10537433
Position Surface form Disambiguated ID Type / Status
Subject Warren Mitchell E248606 entity
Predicate birthName P65 FINISHED
Object Warren Misell 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 Misell | Statement: [Warren Mitchell, birthName, Warren Misell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warren Misell
Context triple: [Warren Mitchell, birthName, Warren Misell]
  • A. Warren Simmons
    Warren Simmons is an American real estate developer best known for creating San Francisco’s popular waterfront attraction Pier 39.
  • B. Warren Lamb
    Warren Lamb was a British movement analyst and management consultant known for extending Laban’s work into a systematic method for interpreting behavior and decision-making through movement patterns.
  • C. Warren Wells
    Warren Wells was an American professional football wide receiver best known for his standout seasons with the Oakland Raiders in the late 1960s.
  • D. 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."
  • E. John Dolman
    John Dolman was an English clergyman and benefactor of the late 16th century best known for establishing Pocklington School in Yorkshire.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50a56133c819088285522e64831f7 completed April 7, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c7b89a808190af9b2d4f37ad9012 completed April 18, 2026, 6:04 p.m.
Created at: April 6, 2026, 12:31 p.m.