Triple

T363174
Position Surface form Disambiguated ID Type / Status
Subject Nike, Inc. E7899 entity
Predicate foundedBy P104 FINISHED
Object Phil Knight
Phil Knight is an American businessman and philanthropist best known as the co-founder and longtime leader of Nike, Inc.
E46705 NE FINISHED

How this triple was built (4 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: Phil Knight | Statement: [Nike, Inc., foundedBy, Phil Knight]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phil Knight
Context triple: [Nike, Inc., foundedBy, Phil Knight]
  • A. 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.
  • B. Paul Allen
    Paul Allen was an American entrepreneur, investor, and philanthropist best known as the co-founder of Microsoft alongside Bill Gates.
  • C. Stan Smith
    Stan Smith is the ultra-patriotic, often clueless CIA agent and main character of the animated television series "American Dad!"
  • D. Jim Wilson
    Jim Wilson is a film producer best known for his work on the hit 1992 romantic thriller "The Bodyguard."
  • E. Bill Walton
    Bill Walton is a Hall of Fame American basketball center known for his dominant play in the 1970s, including leading the Portland Trail Blazers to an NBA championship, and later for his colorful career as a sports broadcaster.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Phil Knight
Triple: [Nike, Inc., foundedBy, Phil Knight]
Generated description
Phil Knight is an American businessman and philanthropist best known as the co-founder and longtime leader of Nike, Inc.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Phil Knight
Target entity description: Phil Knight is an American businessman and philanthropist best known as the co-founder and longtime leader of Nike, Inc.
  • A. 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.
  • B. Paul Allen
    Paul Allen was an American entrepreneur, investor, and philanthropist best known as the co-founder of Microsoft alongside Bill Gates.
  • C. Stan Smith
    Stan Smith is the ultra-patriotic, often clueless CIA agent and main character of the animated television series "American Dad!"
  • D. Jim Wilson
    Jim Wilson is a film producer best known for his work on the hit 1992 romantic thriller "The Bodyguard."
  • E. Bill Walton
    Bill Walton is a Hall of Fame American basketball center known for his dominant play in the 1970s, including leading the Portland Trail Blazers to an NBA championship, and later for his colorful career as a sports broadcaster.
  • F. None of above. chosen

Provenance (5 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_69a2e7e880008190a6ad7e06e5d03007 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ebcfb0f48190b9a9010c7837ac58 completed Feb. 28, 2026, 1:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3eca938988190b4490e086f25474e completed March 1, 2026, 7:37 a.m.
NEDg Description generation batch_69a3ede6b21c8190bf5ca0347148c608 completed March 1, 2026, 7:42 a.m.
NED2 Entity disambiguation (via description) batch_69a3ee4e691481908f47635d5a7182c6 completed March 1, 2026, 7:44 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.