Triple

T19788347
Position Surface form Disambiguated ID Type / Status
Subject Love, Honour and Obey E475336 entity
Predicate castMember P1668 FINISHED
Object Kathy Burke 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: Kathy Burke | Statement: [Love, Honour and Obey, castMember, Kathy Burke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kathy Burke
Context triple: [Love, Honour and Obey, castMember, Kathy Burke]
  • A. Kathy Burke chosen
    Kathy Burke is an English actress, comedian, writer, and director known for her acclaimed work in British film and television, including her BAFTA-winning performance in "Nil by Mouth."
  • B. Glenda Jackson
    Glenda Jackson was an acclaimed British actress and Labour Party politician, renowned for her Oscar-winning film roles and later service as a Member of Parliament.
  • C. Wendy Hiller
    Wendy Hiller was an acclaimed English stage and film actress known for her nuanced, often understated performances in classics such as "Pygmalion" and "Separate Tables."
  • D. Shirley Henderson
    Shirley Henderson is a Scottish actress known for her distinctive voice and roles in films such as the Bridget Jones series and the Harry Potter franchise.
  • E. Lesley Garrett
    Lesley Garrett is an English soprano and media personality known for her operatic performances and popular classical crossover work.
  • 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65389c9ac81909e61b3cbb9213e72 completed April 20, 2026, 4:25 p.m.
Created at: April 10, 2026, 1:49 p.m.