Triple

T16975954
Position Surface form Disambiguated ID Type / Status
Subject William Archer E411808 entity
Predicate mother P120 FINISHED
Object Mary Archer E432622 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: Mary Archer | Statement: [William Archer, mother, Mary Archer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Archer
Context triple: [William Archer, mother, Mary Archer]
  • A. Mary Archer chosen
    Mary Archer is a British scientist and academic, known for her work in solar energy research and for being married to novelist and former politician Jeffrey Archer.
  • B. Anne Archer
    Anne Archer is an American actress best known for her Academy Award–nominated role in the 1987 thriller "Fatal Attraction."
  • C. Amy Archer
    Amy Archer is a fast-talking, sharp-witted investigative reporter in the film "The Hudsucker Proxy" who uncovers corporate corruption.
  • D. Marian McAlpin
    Marian McAlpin is the conflicted young protagonist of Margaret Atwood’s novel "The Edible Woman," whose growing aversion to food mirrors her anxiety about identity, gender roles, and societal expectations.
  • E. Sarah Davenport
    Sarah Davenport was the wife of colonial American Congregational minister and educator Eleazar Wheelock, founder of Dartmouth College.
  • 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_69d886ca8f348190812768ea8d5055ce completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d183ff648190a3cb47242bf7e6ba completed April 18, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01b80d3a3081908a255a40bd7a72a0 completed May 11, 2026, 11:05 a.m.
Created at: April 10, 2026, 5:31 a.m.