Triple

T9450691
Position Surface form Disambiguated ID Type / Status
Subject Frances Annie Dyer E227880 entity
Predicate name P16 FINISHED
Object Frances Annie Dyer E227880 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: Frances Annie Dyer | Statement: [Frances Annie Dyer, name, Frances Annie Dyer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frances Annie Dyer
Context triple: [Frances Annie Dyer, name, Frances Annie Dyer]
  • A. Frances Annie Dyer chosen
    Frances Annie Dyer was the wife of British Indian Army officer Reginald Dyer, who is infamous for ordering the 1919 Jallianwala Bagh massacre in Amritsar.
  • B. Elsie Driggs
    Elsie Driggs was an American painter associated with the Precisionist movement, known for her stylized depictions of industrial and urban landscapes.
  • C. Lillian Burns
    Lillian Burns was an American acting and dialogue coach and studio executive best known for her influential work at MGM during Hollywood’s Golden Age.
  • D. Mary Anne Dalton
    Mary Anne Dalton is best known as the former wife of American comedian and actor Tim Conway.
  • E. Maud Bailey
    Maud Bailey is a fictional literary scholar and one of the central protagonists in A.S. Byatt’s novel "Possession," portrayed by Gwyneth Paltrow in its 2002 film adaptation.
  • 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_69ca8439f8bc8190997f2ef40c9f0bc2 completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7f6649a48190b6844daa6202efe5 completed April 1, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69de54a30b748190bb791078e9dde442 completed April 14, 2026, 2:52 p.m.
Created at: March 30, 2026, 7:51 p.m.