Triple

T9774763
Position Surface form Disambiguated ID Type / Status
Subject Will Carling E237218 entity
Predicate name P16 FINISHED
Object Will Carling E237218 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: Will Carling | Statement: [Will Carling, name, Will Carling]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Will Carling
Context triple: [Will Carling, name, Will Carling]
  • A. Will Carling chosen
    Will Carling is a former England rugby union captain and centre who led the national team through a highly successful period in the late 1980s and early 1990s.
  • B. William Drysdale
    William Drysdale is a relatively obscure individual known primarily as a notable bearer of the surname Drysdale, with limited widely recognized biographical information available.
  • C. John Drinkwater
    John Drinkwater was an English poet and playwright of the early 20th century, best known as a leading figure in the Georgian poetry movement.
  • D. Stephen Carlile
    Stephen Carlile is a British stage actor best known for playing Scar in the Broadway and touring productions of Disney’s The Lion King.
  • E. Warwick Goble
    Warwick Goble was a British illustrator best known for his early 20th-century book and magazine illustrations, particularly for fantasy, fairy tales, and science fiction works.
  • 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_69ca84d975a08190aab25b02a89bdab3 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda13148288190bcbb3b4a066d9fc1 completed April 1, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bd18542881908860f9e8e3927f23 completed April 5, 2026, 1:38 a.m.
Created at: March 30, 2026, 8:26 p.m.