Triple

T2370477
Position Surface form Disambiguated ID Type / Status
Subject NKE E46076 entity
Predicate hasUnderlyingCompanyFounder P8758 FINISHED
Object Bill Bowerman E46074 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: Bill Bowerman | Statement: [NKE, hasUnderlyingCompanyFounder, Bill Bowerman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bill Bowerman
Context triple: [NKE, hasUnderlyingCompanyFounder, Bill Bowerman]
  • A. Bill Bowerman chosen
    Bill Bowerman was an American track and field coach and innovative footwear designer who co-founded Nike and helped revolutionize modern athletic shoe design.
  • B. Phil Knight
    Phil Knight is an American businessman and philanthropist best known as the co-founder and longtime leader of Nike, Inc.
  • C. Don Schollander
    Don Schollander is an American swimmer who became one of the sport’s early superstars by winning four gold medals at the 1964 Tokyo Olympics.
  • D. Bowerman
    Bowerman is a surname most prominently associated with Bill Bowerman, the legendary American track coach and co-founder of Nike.
  • E. Stan Smith
    Stan Smith is the ultra-patriotic, often clueless CIA agent and main character of the animated television series "American Dad!"
  • 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_69a88a145268819083e2736cb835c696 completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abc76f5aec8190867d621e6849258c completed March 7, 2026, 6:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef094fd8081909fc9a19f3e36c0d0 completed March 9, 2026, 4:08 p.m.
Created at: March 4, 2026, 7:56 p.m.