Triple

T17669246
Position Surface form Disambiguated ID Type / Status
Subject Margaret Crabbe E440472 entity
Predicate partOf P40 FINISHED
Object Pie in the Sky cast of characters — 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: Pie in the Sky cast of characters | Statement: [Margaret Crabbe, partOf, Pie in the Sky cast of characters]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pie in the Sky cast of characters
Context triple: [Margaret Crabbe, partOf, Pie in the Sky cast of characters]
  • A. Pie in the Sky chosen
    Pie in the Sky is a British television drama-comedy series about a detective who balances police work with running his own restaurant.
  • B. Sky in the Pie
    Sky in the Pie is a humorous and imaginative children's poetry collection by British poet Roger McGough.
  • C. Pies, Pies, Pies (1961)
    Pies, Pies, Pies (1961) is a celebrated Wayne Thiebaud painting that exemplifies his signature depictions of brightly colored, meticulously arranged desserts in a pop art-influenced style.
  • D. Boggis, Bunce and Bean
    Boggis, Bunce and Bean are the trio of cruel farmers who serve as the main antagonists in Roald Dahl’s children’s book "Fantastic Mr. Fox."
  • E. The Pie
    The Pie is the spirited horse ridden by Velvet Brown in the classic novel and film "National Velvet."
  • 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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46f67f6188190a978c7c9f462064d completed April 19, 2026, 6 a.m.
Created at: April 10, 2026, 9:58 a.m.