Triple

T9339964
Position Surface form Disambiguated ID Type / Status
Subject Beckham E224738 entity
Predicate usedBy P260 FINISHED
Object Bob Beckham
Bob Beckham was an American country music singer and influential Nashville music publisher known for helping develop the careers of numerous songwriters.
 E793283 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: Bob Beckham | Statement: [Beckham, usedBy, Bob Beckham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bob Beckham
Context triple: [Beckham, usedBy, Bob Beckham]
  • A. Peter Withe
    Peter Withe is a former English footballer best known as the centre-forward who scored the winning goal for Aston Villa in the 1982 European Cup final.
  • B. David Beckham
    David Beckham is a former English footballer renowned worldwide for his precise crossing and free-kick ability, his success with club and country, and his status as a global sports icon.
  • C. Dave Beadle
    Dave Beadle is an entrepreneur best known as a founder of the American low-cost airline Allegiant Air.
  • D. John Hough
    John Hough is a British film and television director best known for his work in horror and genre cinema during the 1970s and 1980s.
  • E. Gary Best
    Gary Best is a personal name shared by multiple individuals, including figures in fields such as politics, sports, and academia.
  • 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: Bob Beckham
Triple: [Beckham, usedBy, Bob Beckham]
Generated description
Bob Beckham was an American country music singer and influential Nashville music publisher known for helping develop the careers of numerous songwriters.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bob Beckham
Target entity description: Bob Beckham was an American country music singer and influential Nashville music publisher known for helping develop the careers of numerous songwriters.
  • A. Peter Withe
    Peter Withe is a former English footballer best known as the centre-forward who scored the winning goal for Aston Villa in the 1982 European Cup final.
  • B. David Beckham
    David Beckham is a former English footballer renowned worldwide for his precise crossing and free-kick ability, his success with club and country, and his status as a global sports icon.
  • C. Dave Beadle
    Dave Beadle is an entrepreneur best known as a founder of the American low-cost airline Allegiant Air.
  • D. John Hough
    John Hough is a British film and television director best known for his work in horror and genre cinema during the 1970s and 1980s.
  • E. Gary Best
    Gary Best is a personal name shared by multiple individuals, including figures in fields such as politics, sports, and academia.
  • 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_69ca84286fcc81909f6e7fd7a7e862a2 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4bae2e2481909effc2dc89a642c5 completed April 1, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0e3ed7ffc819090f3706a8be4cbfa completed April 4, 2026, 10:11 a.m.
NEDg Description generation batch_69d0e50585688190b3d7fca7ef83d733 completed April 4, 2026, 10:16 a.m.
NED2 Entity disambiguation (via description) batch_69d0e58ac36081908b5b133a1d423e0c completed April 4, 2026, 10:18 a.m.
Created at: March 30, 2026, 7:40 p.m.