Triple

T4859966
Position Surface form Disambiguated ID Type / Status
Subject Montague Francis Ashley-Montagu E108633 entity
Predicate familyName P18 FINISHED
Object Ashley-Montagu E17523 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: Ashley-Montagu | Statement: [Montague Francis Ashley-Montagu, familyName, Ashley-Montagu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ashley-Montagu
Context triple: [Montague Francis Ashley-Montagu, familyName, Ashley-Montagu]
  • A. Ashley Montagu chosen
    Ashley Montagu was a British-American anthropologist and humanist known for his influential writings on race, gender, and the biological basis of human behavior.
  • B. Frances Kuper
    Frances Kuper is known as a former spouse of investigative journalist and author Bob Woodward.
  • C. Jill Esmond
    Jill Esmond was a British stage and film actress best known as the first wife of Laurence Olivier and for her work in early 20th-century theatre and cinema.
  • D. Franziska Boas
    Franziska Boas was an American modern dancer, percussionist, and dance educator known for integrating anthropology, improvisation, and social activism into her work.
  • E. Margaretta Scott
    Margaretta Scott was a British actress known for her work in film, theatre, and radio during the mid-20th century.
  • 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_69bd440b965081908b0557721cae6338 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d5c92148190a314707bdd3ff30f completed March 20, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5cf49590819084de6b655f1c8e88 completed March 21, 2026, 8:55 a.m.
Created at: March 20, 2026, 1:26 p.m.