Triple

T14691057
Position Surface form Disambiguated ID Type / Status
Subject Barclay E345032 entity
Predicate hasNotableBearer P458 FINISHED
Object Steve Barclay E284518 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: Steve Barclay | Statement: [Barclay, hasNotableBearer, Steve Barclay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steve Barclay
Context triple: [Barclay, hasNotableBearer, Steve Barclay]
  • A. Steve Barclay chosen
    Steve Barclay is a British Conservative politician who has held several senior UK government roles, including serving in the Cabinet.
  • B. Christopher Barclay
    Christopher Barclay is the husband of acclaimed American television and film director Paris Barclay.
  • C. Bryan Clarke
    Bryan Clarke was a prominent British evolutionary biologist and geneticist known for his influential work on natural selection and genetic variation, particularly in snail populations.
  • D. David Barclay
    David Barclay was a British billionaire businessman and one of the reclusive Barclay brothers, known for co-owning the Telegraph Media Group and various other high-profile assets.
  • E. Tony Beckley
    Tony Beckley was a British character actor best known for his memorable villainous roles in films of the 1960s and 1970s, including the original version of The Italian Job.
  • 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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb585d46c81908d6964130914cec4 completed April 14, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde189771c81909289b8b044e32547 completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 1:28 a.m.