Triple

T19982772
Position Surface form Disambiguated ID Type / Status
Subject Nurse Matilda book series E493857 entity
Predicate mainCharacter P1183 FINISHED
Object Nurse Matilda 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: Nurse Matilda | Statement: [Nurse Matilda book series, mainCharacter, Nurse Matilda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nurse Matilda
Context triple: [Nurse Matilda book series, mainCharacter, Nurse Matilda]
  • A. Nurse Matilda chosen
    Nurse Matilda is the magical, stern-yet-kind nanny from Christianna Brand’s children’s books that inspired the film character Nanny McPhee.
  • B. Maidie
    Maidie is the central character of the television series "Dads," around whom the show's primary storylines and character dynamics revolve.
  • C. Worthy Matron
    The Worthy Matron is the presiding female officer and primary leader of a local chapter in the Order of the Eastern Star.
  • D. Mrs. Drusse
    Mrs. Drusse is a spiritually attuned, eccentric elderly patient who becomes a central figure in uncovering supernatural mysteries within Lars von Trier’s Danish horror series "The Kingdom."
  • E. Matilda McGrain
    Matilda McGrain was the wife of American statesman and jurist Walter Q. Gresham, who served as U.S. Postmaster General, Secretary of the Treasury, and Secretary of State in the late 19th century.
  • 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_69da626a67648190af9653832a3aeced completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65d14c3c08190b1ba8f4da08a4ccf completed April 20, 2026, 5:06 p.m.
Created at: April 11, 2026, 3:28 p.m.