Triple

T16543286
Position Surface form Disambiguated ID Type / Status
Subject John David Wicker E401874 entity
Predicate name P16 FINISHED
Object John David Wicker E401874 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: John David Wicker | Statement: [John David Wicker, name, John David Wicker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John David Wicker
Context triple: [John David Wicker, name, John David Wicker]
  • A. John David Wicker chosen
    John David Wicker is a collegiate sports administrator best known for leading the athletic department at San Diego State University.
  • B. Douglas Wick
    Douglas Wick is an American film producer known for acclaimed movies such as "Gladiator," "Working Girl," and "Memoirs of a Geisha."
  • C. David Wicks
    David Wicks is a fictional character from the British soap opera "EastEnders," known for his complicated family relationships and turbulent personal life.
  • D. Roger Woodard
    Roger Woodard is a scholar best known for his work in classical studies and Indo-European linguistics, particularly on ancient Greek language and writing systems.
  • E. John Requa
    John Requa is an American screenwriter and director known for co-writing films such as "Bad Santa," "I Love You Phillip Morris," and "Jungle Cruise."
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3455fab34819086c77ff45b85f5db completed April 18, 2026, 8:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0084ac013c81909ce7055de4f12e58 completed May 10, 2026, 1:14 p.m.
Created at: April 10, 2026, 5:15 a.m.