Triple

T21463480
Position Surface form Disambiguated ID Type / Status
Subject In Two Minds E529531 entity
Predicate starred P5563 FINISHED
Object Anna Cropper 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: Anna Cropper | Statement: [In Two Minds, starred, Anna Cropper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna Cropper
Context triple: [In Two Minds, starred, Anna Cropper]
  • A. Anna Cropper chosen
    Anna Cropper was an English stage, film, and television actress known for her work in British drama from the 1960s onward.
  • B. Anna Rampton
    Anna Rampton is a fictional senior BBC executive in the British mockumentary series "W1A," known for her terse manner and corporate jargon.
  • C. Joanna Hancock
    Joanna Hancock is the stepdaughter of the late British actor John Thaw, known for his roles in television series such as "Inspector Morse."
  • D. Mary Corbett
    Mary Corbett is known as the wife of British actor Frank Windsor, recognized for his roles in television dramas such as "Z-Cars."
  • E. Claire Rushbrook
    Claire Rushbrook is an English actress known for her work in film, television, and theatre, including prominent roles in British dramas and period pieces.
  • 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_69e0c458133481908ae8b41a12c4edec completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9efdb188190be79b72e1bd18860 completed April 23, 2026, 9:44 a.m.
Created at: April 16, 2026, 6:09 p.m.