Triple

T6279313
Position Surface form Disambiguated ID Type / Status
Subject Simon Fuller E140740 entity
Predicate managed P3234 FINISHED
Object David Beckham E12284 NE FINISHED

How this triple was built (2 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 Beckham | Statement: [Simon Fuller, managed, David Beckham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Beckham
Context triple: [Simon Fuller, managed, David Beckham]
  • A. David Beckham chosen
    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.
  • B. Beckham
    Beckham is the surname of Odell Beckham Jr., a prominent American football wide receiver known for his spectacular catches and NFL career.
  • C. Owen Hargreaves
    Owen Hargreaves is a former professional footballer best known as a versatile midfielder who played for Bayern Munich, Manchester United, and the England national team.
  • D. Rio Ferdinand
    Rio Ferdinand is a former English central defender best known for his successful spell at Manchester United, where he won multiple Premier League titles and the UEFA Champions League.
  • E. David James
    David James was an engineer and entrepreneur best known as a co-founder of the pioneering semiconductor company Signetics.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c008cc158881908df6ec94a911c736 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063dc55d48190b5ed48a50f3a742e completed March 22, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c519549cf0819096d01c23f6c915eb completed March 26, 2026, 11:32 a.m.
Created at: March 22, 2026, 4:26 p.m.