Triple

T22021849
Position Surface form Disambiguated ID Type / Status
Subject The White Queen E543864 entity
Predicate basedOnWorkBy P2806 FINISHED
Object Philippa Gregory 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: Philippa Gregory | Statement: [The White Queen, basedOnWorkBy, Philippa Gregory]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Philippa Gregory
Context triple: [The White Queen, basedOnWorkBy, Philippa Gregory]
  • A. Philippa Gregory chosen
    Philippa Gregory is a British historical novelist best known for her Tudor-era novels, including the bestselling "The Other Boleyn Girl."
  • B. Alison Weir
    Alison Weir is a British historian and author best known for her popular works on the Tudor period and biographies of English royalty.
  • C. Barbara Maitland
    Barbara Maitland is one of the main ghostly protagonists in Tim Burton’s film "Beetlejuice," a recently deceased woman trying to reclaim her home from unwelcome living occupants.
  • D. Elizabeth Jane Howard
    Elizabeth Jane Howard was an English novelist best known for her critically acclaimed family saga, the Cazalet Chronicles.
  • E. Antonia Fraser
    Antonia Fraser is a British historian and biographer renowned for her popular works on European royalty and major figures of British history.
  • 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_69e11e2e8ea4819084210fe06d3a1b8d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127c8ac6881909a9e96e0873a3ae2 completed April 28, 2026, 9:34 p.m.
Created at: April 16, 2026, 8:23 p.m.