Triple

T23033294
Position Surface form Disambiguated ID Type / Status
Subject Mary Brown Wanamaker Warburton E573522 entity
Predicate familyName P18 FINISHED
Object Warburton NE NERFINISHED

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: Warburton | Statement: [Mary Brown Wanamaker Warburton, familyName, Warburton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warburton
Context triple: [Mary Brown Wanamaker Warburton, familyName, Warburton]
  • A. Warburton
    Warburton is a small town in Victoria, Australia, known for its scenic forested setting in the Yarra Valley and popularity as a nature and weekend getaway destination.
  • B. Warburton chosen
    Warburton is a surname of English origin borne by various notable individuals, including actors, athletes, and public figures.
  • C. Warburton
    Warburton is a village in Greater Manchester, England, known for its historic church, toll bridge over the River Mersey, and rural character.
  • D. Warburton
    Warburton is a remote Aboriginal community and township in Western Australia’s Goldfields-Esperance region, serving as a key service and administrative centre for the surrounding desert area.
  • E. Battisford
    Battisford is a small rural village and civil parish located in the English county of Suffolk.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245b911188190bc3d96326c847969 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18482e78c8190a89681eec2edb812 completed April 29, 2026, 4:09 a.m.
Created at: April 17, 2026, 3:53 p.m.