Triple

T22014568
Position Surface form Disambiguated ID Type / Status
Subject Fanny and Elvis E543673 entity
Predicate castMember P1668 FINISHED
Object Lynda Rooke 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: Lynda Rooke | Statement: [Fanny and Elvis, castMember, Lynda Rooke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lynda Rooke
Context triple: [Fanny and Elvis, castMember, Lynda Rooke]
  • A. Lynda Rooke chosen
    Lynda Rooke is a British actress known for her work in film, television, and theatre.
  • B. Robyn Kershaw
    Robyn Kershaw is an Australian film and television producer known for backing distinctive independent projects and supporting emerging talent.
  • C. Kate Rutherford
    Kate Rutherford is known as the daughter of Mike Rutherford, the English musician and founding member of the rock band Genesis.
  • D. Lisa Rolfe
    Lisa Rolfe is the central protagonist of the 1984 comedy-drama film "Garbo Talks," around whom the story’s emotional and narrative developments revolve.
  • E. Shelley Considine
    Shelley Considine is the wife of English actor and filmmaker Paddy Considine, known for maintaining a largely private life outside of her husband's public career.
  • 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_69e11e2db934819095556760c7d85e4d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127a6bf6081909865781ea7937a1b completed April 28, 2026, 9:33 p.m.
Created at: April 16, 2026, 8:22 p.m.