Triple

T20774683
Position Surface form Disambiguated ID Type / Status
Subject Cornelia Funke E511324 entity
Predicate name P16 FINISHED
Object Cornelia Funke 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: Cornelia Funke | Statement: [Cornelia Funke, name, Cornelia Funke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cornelia Funke
Context triple: [Cornelia Funke, name, Cornelia Funke]
  • A. Cornelia Funke chosen
    Cornelia Funke is a German author best known for her fantasy novels for children and young adults, including the popular Inkheart trilogy.
  • B. Megan Turner
    Megan Turner is the tough, rookie NYPD officer portrayed by Jamie Lee Curtis in the 1990 crime thriller film "Blue Steel."
  • C. Cressida Cowell
    Cressida Cowell is a British children's author and illustrator best known for her "How to Train Your Dragon" book series, which inspired the popular animated film franchise.
  • D. Hannah Colfer
    Hannah Colfer is the sister of American actor and author Chris Colfer, known to fans through his public mentions of their close sibling relationship.
  • E. Sandra Pullman
    Sandra Pullman is a determined, by-the-book detective who leads a team of retired officers investigating cold cases in the British television series "New Tricks."
  • 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_69e0b4cac7a48190a715cb3d545df2b4 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c26a39bc81909ca5d102056d8586 completed April 21, 2026, 12:18 a.m.
Created at: April 16, 2026, 12:37 p.m.