Triple

T22926832
Position Surface form Disambiguated ID Type / Status
Subject Samuel Purchas E569332 entity
Predicate familyName P18 FINISHED
Object Purchas 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: Purchas | Statement: [Samuel Purchas, familyName, Purchas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Purchas
Context triple: [Samuel Purchas, familyName, Purchas]
  • A. Purchas chosen
    Purchas is an English surname most notably associated with Samuel Purchas, a 17th-century cleric and compiler of travel narratives.
  • B. Haseldine
    Haseldine is the middle name of William Haseldine Pepys, an English scientist and instrument maker active in the late 18th and early 19th centuries.
  • C. Sharrow
    Sharrow is a district of Sheffield, South Yorkshire, England, known for its diverse community and proximity to the city centre.
  • D. Talbot
    Talbot is a surname of English and Norman origin, historically associated with several notable families and individuals.
  • E. Colsterworth
    Colsterworth is a village in Lincolnshire, England, best known for its proximity to Woolsthorpe Manor, the birthplace of Sir Isaac Newton.
  • 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_69e2458f7d008190901dccbaebeaba24 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f180da10648190a67ba113fa8c1370 completed April 29, 2026, 3:54 a.m.
Created at: April 17, 2026, 3:43 p.m.