Triple

T18647994
Position Surface form Disambiguated ID Type / Status
Subject Carnell "Cadillac" Williams E455853 entity
Predicate givenName P17 FINISHED
Object Carnell 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: Carnell | Statement: [Carnell "Cadillac" Williams, givenName, Carnell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carnell
Context triple: [Carnell "Cadillac" Williams, givenName, Carnell]
  • A. Carnell chosen
    Carnell is a surname of English origin borne by various notable individuals across sports, politics, and other fields.
  • B. Carrinton
    Carrinton is a variant spelling of the English surname and place name Carrington.
  • C. Cloyce
    Cloyce is a surname most notably associated with Sarah Cloyce, one of the women accused during the Salem witch trials in 17th-century Massachusetts.
  • D. Bowden
    Bowden is a surname most notably associated with American actress Katrina Bowden, known for her role on the television series "30 Rock."
  • E. Bowden
    Bowden is an inner-city suburb of Adelaide, South Australia, known for its urban renewal projects and mixed-use residential developments.
  • 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_69d8d38ea1e88190997e9b231190ba6f completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5500f007c81908b1835569be913d7 completed April 19, 2026, 9:58 p.m.
Created at: April 10, 2026, 11:47 a.m.