Triple

T15850610
Position Surface form Disambiguated ID Type / Status
Subject Utsunomiya Brex E384325 entity
Predicate notablePlayer P304 FINISHED
Object Jeff Gibbs
Jeff Gibbs is an American professional basketball player known for his standout performances in Japan’s B.League, particularly with the Utsunomiya Brex.
 E1179336 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: Jeff Gibbs | Statement: [Utsunomiya Brex, notablePlayer, Jeff Gibbs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jeff Gibbs
Context triple: [Utsunomiya Brex, notablePlayer, Jeff Gibbs]
  • A. Jeff Gibbs
    Jeff Gibbs is a composer and musician best known for creating the score for Michael Moore's documentary film "Fahrenheit 9/11."
  • B. Ty Gibbs
    Ty Gibbs is an American professional stock car racing driver who competes in NASCAR, known for being a rising star and the grandson of team owner and former NFL coach Joe Gibbs.
  • C. Rob Gibbs
    Rob Gibbs was an American storyboard artist, director, and writer best known for his long-time work at Pixar Animation Studios on films and shorts including the Cars franchise.
  • D. Timmy Gibbs
    Timmy Gibbs is an actor best known for his role in the television series "Father Murphy."
  • E. Kent Rogers
    Kent Rogers was an American voice actor best known for his work in classic Warner Bros. cartoons during the 1940s.
  • 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: Jeff Gibbs
Triple: [Utsunomiya Brex, notablePlayer, Jeff Gibbs]
Generated description
Jeff Gibbs is an American professional basketball player known for his standout performances in Japan’s B.League, particularly with the Utsunomiya Brex.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jeff Gibbs
Target entity description: Jeff Gibbs is an American professional basketball player known for his standout performances in Japan’s B.League, particularly with the Utsunomiya Brex.
  • A. Jeff Gibbs
    Jeff Gibbs is a composer and musician best known for creating the score for Michael Moore's documentary film "Fahrenheit 9/11."
  • B. Ty Gibbs
    Ty Gibbs is an American professional stock car racing driver who competes in NASCAR, known for being a rising star and the grandson of team owner and former NFL coach Joe Gibbs.
  • C. Rob Gibbs
    Rob Gibbs was an American storyboard artist, director, and writer best known for his long-time work at Pixar Animation Studios on films and shorts including the Cars franchise.
  • D. Timmy Gibbs
    Timmy Gibbs is an actor best known for his role in the television series "Father Murphy."
  • E. Kent Rogers
    Kent Rogers was an American voice actor best known for his work in classic Warner Bros. cartoons during the 1940s.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e14cab0fe48190bd6629e071761e91 completed April 16, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa147bce481909fb6f6ef2793a5a8 completed May 9, 2026, 9:04 p.m.
NEDg Description generation batch_69ffa41a86ec8190b46d541965ecf26e completed May 9, 2026, 9:16 p.m.
NED2 Entity disambiguation (via description) batch_69ffa496f3e48190b8dc82bece548aec completed May 9, 2026, 9:18 p.m.
Created at: April 10, 2026, 4:50 a.m.