Triple

T7974034
Position Surface form Disambiguated ID Type / Status
Subject John Williams (Puritan minister) E185397 entity
Predicate motherInLaw P18075 FINISHED
Object Maria Cotton Mather E16074 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: Maria Cotton Mather | Statement: [John Williams (Puritan minister), motherInLaw, Maria Cotton Mather]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maria Cotton Mather
Context triple: [John Williams (Puritan minister), motherInLaw, Maria Cotton Mather]
  • A. Maria Cotton Mather chosen
    Maria Cotton Mather was the mother of the influential New England Puritan minister and writer Cotton Mather.
  • B. Anna Brewster
    Anna Brewster is an English actress and model known for her roles in film and television, including period dramas and independent features.
  • C. Eunice Mather
    Eunice Mather was a colonial New England woman from the prominent Mather family, known primarily as the wife of Puritan minister John Williams of Deerfield.
  • D. Mary Bowne
    Mary Bowne was a colonial-era New Yorker known primarily as the daughter of Quaker pioneer and religious freedom advocate John Bowne.
  • E. Mary Mather Smith
    Mary Mather Smith was the wife of American film actor Bruce Cabot, known for his roles in classic Hollywood cinema.
  • 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_69ca829851908190b4e03829353ee7c3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3bf319648190a900b133d58bd02b completed March 31, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56710dd0819084da3898cb0933b0 completed March 31, 2026, 11:19 p.m.
Created at: March 30, 2026, 5:14 p.m.