Triple

T2135870
Position Surface form Disambiguated ID Type / Status
Subject Dusty Cohl E46651 entity
Predicate name P16 FINISHED
Object Dusty Cohl E46651 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: Dusty Cohl | Statement: [Dusty Cohl, name, Dusty Cohl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dusty Cohl
Context triple: [Dusty Cohl, name, Dusty Cohl]
  • A. Dusty Cohl chosen
    Dusty Cohl was a Canadian film producer and cultural promoter best known for co-founding the Toronto International Film Festival and helping elevate Toronto’s global film profile.
  • B. Cheryl Miller
    Cheryl Miller is a legendary American basketball player and coach widely regarded as one of the greatest women’s players in history.
  • C. Teresa Weatherspoon
    Teresa Weatherspoon is a Hall of Fame American basketball player and coach best known as an original WNBA star and defensive standout at point guard.
  • D. Connie Hawkins
    Connie Hawkins was an American Basketball Hall of Famer known for his spectacular, high-flying play in the ABA and NBA, particularly with the Pittsburgh/Minnesota franchise and later the Phoenix Suns.
  • E. Cindy Birdsong
    Cindy Birdsong is an American singer best known as a member of the Motown girl group The Supremes, with whom she achieved major success in the late 1960s and 1970s.
  • 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_69a88a174ab48190a5db20c132e5dccf completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbdc4ce8c81908d143d5451681e6a completed March 7, 2026, 5:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae51acc0f88190a580e29d887170ec completed March 9, 2026, 4:50 a.m.
Created at: March 4, 2026, 7:44 p.m.