Triple

T5183013
Position Surface form Disambiguated ID Type / Status
Subject Christianna Brand E116964 entity
Predicate name P16 FINISHED
Object Christianna Brand E116964 NE FINISHED

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: [Christianna Brand, name, Christianna Brand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christianna Brand
Context triple: [Christianna Brand, name, 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. Susanna Bennett
    Susanna Bennett was the wife of Irish Gothic writer Sheridan Le Fanu, known primarily through her marriage to the influential Victorian author.
  • E. Lucinda Riley
    Lucinda Riley was a bestselling Irish author best known for her multi-volume historical fiction series "The Seven Sisters," which achieved international acclaim.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd446140f08190becb93c61158f27f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd799d50388190bf2b7dfdd90949e9 completed March 20, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69bee0815d848190bacd5ec6a778d91e completed March 21, 2026, 6:16 p.m.
Created at: March 20, 2026, 1:46 p.m.