Triple

T10121244
Position Surface form Disambiguated ID Type / Status
Subject Anne Boulton E223293 entity
Predicate name P16 FINISHED
Object Anne Boulton E223293 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: Anne Boulton | Statement: [Anne Boulton, name, Anne Boulton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anne Boulton
Context triple: [Anne Boulton, name, Anne Boulton]
  • A. Anne Boulton chosen
    Anne Boulton was the wife of prominent English industrialist and manufacturer Matthew Boulton, associated with the early Industrial Revolution in Birmingham.
  • B. Anne Barnard
    Anne Barnard is a journalist and foreign correspondent known for her reporting on conflict zones and Middle Eastern affairs, particularly for The New York Times.
  • C. Elizabeth Alington
    Elizabeth Alington was a British aristocrat and the wife of Conservative politician and former UK Prime Minister Alec Douglas-Home.
  • D. Elizabeth Maddern
    Elizabeth Maddern was the first wife of American writer Jack London (born John Griffith Chaney), married to him before his rise to literary fame.
  • E. Dorothy Buxton
    Dorothy Buxton was a British social reformer and humanitarian best known for co-founding the international child welfare organization Save the Children.
  • 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_69ca8422047c81909d66b717b8b18cf3 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd266b18c8190b35fe637c912e756 completed April 2, 2026, 2:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e5b6101081909c97956591b01af9 completed April 5, 2026, 10:44 p.m.
Created at: March 30, 2026, 9:04 p.m.