Triple

T2548077
Position Surface form Disambiguated ID Type / Status
Subject Capability Brown E57951 entity
Predicate spouse P13 FINISHED
Object Bridget Wayet E160077 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: Bridget Wayet | Statement: [Capability Brown, spouse, Bridget Wayet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bridget Wayet
Context triple: [Capability Brown, spouse, Bridget Wayet]
  • A. Bridget Wayet chosen
    Bridget Wayet was the wife of renowned 18th-century English landscape architect Lancelot "Capability" Brown.
  • B. Bridget Bendish
    Bridget Bendish was the politically active granddaughter of Oliver Cromwell and daughter of Henry Ireton, known for her strong royalist sympathies after the English Civil War.
  • C. Bridget Dryden
    Bridget Dryden was the mother of the notable Puritan spiritual leader and religious dissenter Anne Hutchinson.
  • D. Danielle Spencer
    Danielle Spencer is an Australian actress and singer-songwriter best known for her work in film and music as well as her long-term relationship with actor Russell Crowe.
  • E. Veanne Cox
    Veanne Cox is an American actress and singer known for her work in musical theatre, film, and television, often recognized for her comedic and character roles.
  • 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_69ab4a5212d88190b989ce129f2ad87f completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd2e672948190bb7fe9b47535a172 completed March 7, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc6316e848190a843f9fd5b152e9f completed March 10, 2026, 7:20 a.m.
Created at: March 6, 2026, 9:47 p.m.