Triple

T786024
Position Surface form Disambiguated ID Type / Status
Subject Hunt E16802 entity
Predicate hasNotableBearer P458 FINISHED
Object William Hunt (footballer)
William Hunt is an English footballer known for his professional career in association football.
 E93791 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: William Hunt (footballer) | Statement: [Hunt, hasNotableBearer, William Hunt (footballer)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: William Hunt (footballer)
Context triple: [Hunt, hasNotableBearer, William Hunt (footballer)]
  • A. William Hunt (cricketer)
    William Hunt was an English cricketer known for playing first-class cricket in the late 19th century.
  • B. 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.
  • C. Owen Rees
    Owen Rees is a British choral conductor and musicologist renowned for his scholarship and performances of Renaissance and early modern sacred music.
  • D. Oliver Leese
    Oliver Leese was a British Army general of the Second World War, best known for his senior field commands in the Mediterranean and Northwest Europe campaigns.
  • E. John Seddon of Warrington
    John Seddon of Warrington was an 18th-century English dissenting minister and theologian known for his influential teaching and leadership at Warrington Academy.
  • 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: William Hunt (footballer)
Triple: [Hunt, hasNotableBearer, William Hunt (footballer)]
Generated description
William Hunt is an English footballer known for his professional career in association football.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: William Hunt (footballer)
Target entity description: William Hunt is an English footballer known for his professional career in association football.
  • A. William Hunt (cricketer)
    William Hunt was an English cricketer known for playing first-class cricket in the late 19th century.
  • B. 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.
  • C. Owen Rees
    Owen Rees is a British choral conductor and musicologist renowned for his scholarship and performances of Renaissance and early modern sacred music.
  • D. Oliver Leese
    Oliver Leese was a British Army general of the Second World War, best known for his senior field commands in the Mediterranean and Northwest Europe campaigns.
  • E. John Seddon of Warrington
    John Seddon of Warrington was an 18th-century English dissenting minister and theologian known for his influential teaching and leadership at Warrington Academy.
  • 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_69a4936cb7448190914f5fe4b8d81607 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a77fcc6881908a025bb21e44ad56 completed March 1, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6787eac608190acc40d56f827284e completed March 3, 2026, 5:58 a.m.
NEDg Description generation batch_69a67a663f6c819084b5dffdde3531aa completed March 3, 2026, 6:06 a.m.
NED2 Entity disambiguation (via description) batch_69a67b1d50b0819088232ad797babced completed March 3, 2026, 6:09 a.m.
Created at: March 1, 2026, 7:38 p.m.