Triple

T8739147
Position Surface form Disambiguated ID Type / Status
Subject Peter Mayhew E207458 entity
Predicate placeOfBirth P1 FINISHED
Object Barnes, London, England E179890 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: Barnes, London, England | Statement: [Peter Mayhew, placeOfBirth, Barnes, London, England]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barnes, London, England
Context triple: [Peter Mayhew, placeOfBirth, Barnes, London, England]
  • A. Barnes, London chosen
    Barnes, London is a leafy, affluent riverside district in southwest London known for its village-like atmosphere, green spaces, and historic architecture.
  • B. Kingsbury, London, England
    Kingsbury is a suburban district in northwest London, England, known for its residential character and diverse community.
  • C. Belmont, Surrey, England
    Belmont, Surrey, England is a suburban area in the London commuter belt, known as the birthplace of Formula One World Champion James Hunt.
  • D. Barnet, London, England
    Barnet is a suburban borough in north London, England, known for its residential character, green spaces, and role as a commuter area for the capital.
  • E. Kenley, Surrey, England
    Kenley, Surrey, England is a suburban district in South London known for its historic airfield and green, residential character.
  • 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_69ca835a03a081909d4d4cd01a18c9fb completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d486e34819094a6c6ec26c047cf completed March 31, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf42d5dd508190854fbbc2541aa819 completed April 3, 2026, 4:32 a.m.
Created at: March 30, 2026, 6:38 p.m.