Triple

T20416699
Position Surface form Disambiguated ID Type / Status
Subject Inspector Cockrill E500731 entity
Predicate authorOfSourceWork P2353 FINISHED
Object Christianna Brand 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: Christianna Brand | Statement: [Inspector Cockrill, authorOfSourceWork, Christianna Brand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christianna Brand
Context triple: [Inspector Cockrill, authorOfSourceWork, Christianna Brand]
  • A. Christianna Brand chosen
    Christianna Brand was a British crime and children's author best known for her "Nurse Matilda" stories, which inspired the film "Nanny McPhee."
  • B. Christine Thayer
    Christine Thayer is a central character in the film "Crash," depicted as a successful Black woman whose experiences expose racial tensions and injustices in contemporary Los Angeles.
  • C. Tasha Bertram
    Tasha Bertram is a British woman known primarily as the mother of actor Thomas Brodie-Sangster.
  • D. Elizabeth Kling
    Elizabeth Kling is a film editor known for her work on the fantasy-romance movie "Practical Magic."
  • E. Susanna Bennett
    Susanna Bennett was the wife of Irish Gothic writer Sheridan Le Fanu, known primarily through her marriage to the influential Victorian author.
  • 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_69e0b4a935588190b9446a99b37ced44 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67a4437448190b07b6e6e3de5830f completed April 20, 2026, 7:11 p.m.
Created at: April 16, 2026, 11:30 a.m.