Triple

T18968205
Position Surface form Disambiguated ID Type / Status
Subject Clockwise E464096 entity
Predicate characterRole P268 FINISHED
Object Penelope Wilton as Pat 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: Penelope Wilton as Pat | Statement: [Clockwise, characterRole, Penelope Wilton as Pat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Penelope Wilton as Pat
Context triple: [Clockwise, characterRole, Penelope Wilton as Pat]
  • A. Penelope Wilton chosen
    Penelope Wilton is an English actress known for her acclaimed work in film, television, and theatre, including roles in "Downton Abbey" and "The Best Exotic Marigold Hotel."
  • B. June Brown
    June Brown was a renowned English actress best known for her long-running role as Dot Cotton on the BBC soap opera "EastEnders."
  • C. Louise Plowright
    Louise Plowright was a British actress known for her work in television and musical theatre, including notable roles in West End productions.
  • D. Patricia Bexley
    Patricia Bexley is known as the wife of American actor and comedian Don Bexley.
  • E. Patricia Routledge
    Patricia Routledge is an English actress and comedian best known for her acclaimed stage work and for starring as the snobbish Hyacinth Bucket in the sitcom "Keeping Up Appearances."
  • 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_69d8dcffc278819086792a4ebfddfafa completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6172888819090a8b3cb1db20496 completed April 20, 2026, 7:30 a.m.
Created at: April 10, 2026, noon