Triple

T19803657
Position Surface form Disambiguated ID Type / Status
Subject Anne Heseltine E475750 entity
Predicate name P16 FINISHED
Object Anne Heseltine NE NERFINISHED

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 Heseltine | Statement: [Anne Heseltine, name, Anne Heseltine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anne Heseltine
Context triple: [Anne Heseltine, name, Anne Heseltine]
  • A. Anne Heseltine chosen
    Anne Heseltine is the wife of British Conservative politician and former Deputy Prime Minister Michael Heseltine.
  • B. Elizabeth Hume
    Elizabeth Hume is a linguist and phonologist known for her work on sound patterns and their cognitive and communicative underpinnings.
  • C. Helen Humes
    Helen Humes was an American jazz and blues singer known for her work with Count Basie’s orchestra and her versatile, swinging vocal style.
  • D. Carobeth Laird
    Carobeth Laird was an American ethnographer and linguist best known for her influential documentation of Chemehuevi language and culture.
  • E. Eileen Anketell
    Eileen Anketell was the wife of British television producer, director, and writer Barry Letts, best known for his work on the classic science fiction series "Doctor Who."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e654266e18819085698aed8b0e2ba8 completed April 20, 2026, 4:28 p.m.
Created at: April 10, 2026, 1:49 p.m.