Triple

T6484223
Position Surface form Disambiguated ID Type / Status
Subject David Hunt (disambiguation) E146468 entity
Predicate hasNotableBearer P458 FINISHED
Object David Hunt (footballer)
David Hunt is an English professional footballer known for his versatility as a midfielder and defender in the lower tiers of English football.
E597114 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: David Hunt (footballer) | Statement: [David Hunt (disambiguation), hasNotableBearer, David Hunt (footballer)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Hunt (footballer)
Context triple: [David Hunt (disambiguation), hasNotableBearer, David Hunt (footballer)]
  • A. William Hunt (footballer)
    William Hunt is an English footballer known for his professional career in association football.
  • B. William Hunt (rugby)
    William Hunt is a rugby player known for his participation in competitive rugby union matches.
  • C. William Hunt (cricketer)
    William Hunt was an English cricketer known for playing first-class cricket in the late 19th century.
  • D. Roger Hunt
    Roger Hunt was an English footballer best known as a prolific striker for Liverpool and a member of England’s 1966 World Cup–winning squad.
  • E. Jonathan Hunt
    Jonathan Hunt was a prominent early 19th-century American politician and lawyer from Vermont who served multiple terms in the U.S. House of Representatives.
  • 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: David Hunt (footballer)
Triple: [David Hunt (disambiguation), hasNotableBearer, David Hunt (footballer)]
Generated description
David Hunt is an English professional footballer known for his versatility as a midfielder and defender in the lower tiers of English football.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: David Hunt (footballer)
Target entity description: David Hunt is an English professional footballer known for his versatility as a midfielder and defender in the lower tiers of English football.
  • A. William Hunt (footballer)
    William Hunt is an English footballer known for his professional career in association football.
  • B. William Hunt (rugby)
    William Hunt is a rugby player known for his participation in competitive rugby union matches.
  • C. William Hunt (cricketer)
    William Hunt was an English cricketer known for playing first-class cricket in the late 19th century.
  • D. Roger Hunt
    Roger Hunt was an English footballer best known as a prolific striker for Liverpool and a member of England’s 1966 World Cup–winning squad.
  • E. Jonathan Hunt
    Jonathan Hunt was a prominent early 19th-century American politician and lawyer from Vermont who served multiple terms in the U.S. House of Representatives.
  • 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_69c0090158c08190af0df9a2348d2d52 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a6de31c81909dd99d105f5bb4c2 completed March 22, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c653b24670819088fa8e0d7eb6f73b completed March 27, 2026, 9:53 a.m.
NEDg Description generation batch_69c655c84a7c81909bb59f9db52f5d3a completed March 27, 2026, 10:02 a.m.
NED2 Entity disambiguation (via description) batch_69c656c84ecc8190b5d0c947c27a3bb0 completed March 27, 2026, 10:07 a.m.
Created at: March 22, 2026, 4:52 p.m.