Triple

T5311929
Position Surface form Disambiguated ID Type / Status
Subject St Oswald’s Churchyard E119050 entity
Predicate notableBurial P196 FINISHED
Object Sara Hutchinson E489495 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: Sara Hutchinson | Statement: [St Oswald’s Churchyard, notableBurial, Sara Hutchinson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sara Hutchinson
Context triple: [St Oswald’s Churchyard, notableBurial, Sara Hutchinson]
  • A. Sara Hutchinson chosen
    Sara Hutchinson was an English woman closely associated with the Romantic poet Samuel Taylor Coleridge, often remembered as his muse and confidante.
  • B. Larissa Howard
    Larissa Howard is known as the daughter of British military historian and politician Michael Howard.
  • C. Jennifer Mordaunt
    Jennifer Mordaunt is a relative of British Conservative politician Penny Mordaunt.
  • D. Rachel Treweek
    Rachel Treweek is a British Anglican bishop notable for being the first woman to serve as a diocesan bishop in the Church of England and the first female bishop to sit in the House of Lords.
  • E. Katherine Wilkinson
    Katherine Wilkinson is a climate strategist, author, and speaker known for her work on solutions-focused climate communication and leadership, including co-editing the influential book "All We Can Save."
  • 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_69bd446b57bc8190a513d2e6c40314f3 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd8535a1ec819094b2c5d3cfc57f56 completed March 20, 2026, 5:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf332d0c608190be0c8e740fe216b7 completed March 22, 2026, 12:09 a.m.
Created at: March 20, 2026, 1:54 p.m.