Triple

T13667657
Position Surface form Disambiguated ID Type / Status
Subject Death at a Funeral E327662 entity
Predicate castMember P1668 FINISHED
Object Jane Asher E1008529 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: Jane Asher | Statement: [Death at a Funeral, castMember, Jane Asher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jane Asher
Context triple: [Death at a Funeral, castMember, Jane Asher]
  • A. Jane Asher chosen
    Jane Asher is an English actress and author who gained fame in the 1960s for her film and television roles and for her high-profile relationship with Paul McCartney.
  • B. Leslie Chamberlain
    Leslie Chamberlain is a British writer, historian, and critic known for her works on Russian and Central European culture, history, and literature.
  • C. Ruth McCartney
    Ruth McCartney is a British media and digital marketing entrepreneur and the stepsister of photographer and musician Heather McCartney, Paul McCartney’s adopted daughter.
  • D. Victoria Francis Lawford
    Victoria Francis Lawford is a member of the Kennedy family, known as the daughter of Patricia Kennedy Lawford and actor Peter Lawford.
  • E. Beryl Reid
    Beryl Reid was a British actress renowned for her versatile comic and dramatic performances on stage, film, radio, and television, particularly in mid-20th-century Britain.
  • 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_69d8076f1fa8819094664a59b55010df completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc65832688190aea688fee0a7cbdb completed April 12, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78b0cfe0c8190b0fe50931e9788cf completed May 3, 2026, 5:51 p.m.
Created at: April 9, 2026, 9:52 p.m.