Triple

T22946860
Position Surface form Disambiguated ID Type / Status
Subject Wind E569896 entity
Predicate hasCharacter P2308 FINISHED
Object Will Parker 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: Will Parker | Statement: [Wind, hasCharacter, Will Parker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Will Parker
Context triple: [Wind, hasCharacter, Will Parker]
  • A. Will Parker chosen
    Will Parker is a cheerful, somewhat naive cowboy and rodeo performer who provides comic relief and romantic subplots in the classic Rodgers and Hammerstein musical "Oklahoma!".
  • B. Paul Parker
    Paul Parker is a relative of Canadian sprint legend Ben Johnson, known for his record-breaking but controversial performances in the 100-meter dash.
  • C. Tod David Brown
    Tod David Brown was an American prelate of the Roman Catholic Church who served as bishop of Boise and later as bishop of Orange in California.
  • D. Eric Hanks
    Eric Hanks is known as the brother of Camille Cosby, the television producer and wife of comedian Bill Cosby.
  • E. Parker Stevenson
    Parker Stevenson is an American actor best known for his roles in the television series "The Hardy Boys/Nancy Drew Mysteries" and "Baywatch."
  • 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_69e2459199d08190a8184ee2aa935842 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1819e559c81909e63acfc23f9476b completed April 29, 2026, 3:57 a.m.
Created at: April 17, 2026, 3:46 p.m.