Triple

T12854813
Position Surface form Disambiguated ID Type / Status
Subject Laika E307422 entity
Predicate parentCompany P254 FINISHED
Object Nike co-founder Phil Knight E46705 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: Nike co-founder Phil Knight | Statement: [Laika, parentCompany, Nike co-founder Phil Knight]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nike co-founder Phil Knight
Context triple: [Laika, parentCompany, Nike co-founder Phil Knight]
  • A. Phil Knight chosen
    Phil Knight is an American businessman and philanthropist best known as the co-founder and longtime leader of Nike, Inc.
  • B. Kevin Plank
    Kevin Plank is an American entrepreneur best known as the founder and longtime CEO of the sportswear company Under Armour.
  • C. Bill Bowerman
    Bill Bowerman was an American track and field coach and innovative footwear designer who co-founded Nike and helped revolutionize modern athletic shoe design.
  • D. Blake Mycoskie
    Blake Mycoskie is an American entrepreneur and philanthropist best known as the founder of TOMS Shoes and the pioneer of the “One for One” social enterprise model.
  • E. Bill Roach
    Bill Roach is a character in John le Carré’s novel "Tinker Tailor Soldier Spy," a shy schoolboy whose suspicions about his teacher help uncover a larger espionage plot.
  • 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_69d7bdf5e7cc8190be357278bc5ba3bb completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97021df7481909cd42a0f72040aa5 completed April 10, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a54ce34c819080ef09ec040a4dbb completed May 3, 2026, 1:30 a.m.
Created at: April 9, 2026, 5:37 p.m.