Triple

T1485873
Position Surface form Disambiguated ID Type / Status
Subject George Gervin E29461 entity
Predicate familyName P18 FINISHED
Object Gervin E29461 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: Gervin | Statement: [George Gervin, familyName, Gervin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gervin
Context triple: [George Gervin, familyName, Gervin]
  • A. George Gervin chosen
    George Gervin is a Hall of Fame American basketball player, nicknamed "The Iceman," renowned as one of the greatest scorers in ABA and NBA history.
  • B. Kurt Rambis
    Kurt Rambis is a former NBA forward best known for his role on the 1980s Los Angeles Lakers championship teams and later work as a coach and executive.
  • C. Reggie Miller
    Reggie Miller is a Hall of Fame former NBA shooting guard, best known for his clutch three-point shooting with the Indiana Pacers and his later work as a basketball analyst and commentator.
  • D. Julius Erving
    Julius Erving, widely known as "Dr. J," is a Hall of Fame basketball legend celebrated for revolutionizing the modern, above-the-rim style of play in the ABA and NBA.
  • E. Bernard King
    Bernard King is a Hall of Fame American basketball forward renowned for his prolific scoring, particularly during the 1980s in the NBA.
  • 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_69a498da82e08190ba833330d05f380f completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6a1d8448190b3c90bb82fd806fe completed March 1, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69ada0bd0f5c8190b5bfd26995f00a0c completed March 8, 2026, 4:15 p.m.
Created at: March 1, 2026, 8:12 p.m.