Triple

T14214284
Position Surface form Disambiguated ID Type / Status
Subject We Need to Talk About Kevin E352308 entity
Predicate authorOfSourceWork P2353 FINISHED
Object Lionel Shriver E687500 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: Lionel Shriver | Statement: [We Need to Talk About Kevin, authorOfSourceWork, Lionel Shriver]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lionel Shriver
Context triple: [We Need to Talk About Kevin, authorOfSourceWork, Lionel Shriver]
  • A. Lionel Shriver chosen
    Lionel Shriver is an American author best known for her provocative, psychologically incisive novels such as "We Need to Talk About Kevin."
  • B. Lauren Groff
    Lauren Groff is an acclaimed contemporary American novelist and short story writer known for works such as "Fates and Furies," "Matrix," and "Florida."
  • C. Anne Napolitano
    Anne Napolitano is a character from the film "The Fisher King," involved in the story’s exploration of loneliness, connection, and redemption.
  • D. Lucy Ellmann
    Lucy Ellmann is an acclaimed Anglo-American novelist best known for her ambitious, stream-of-consciousness fiction and sharp feminist and political commentary.
  • E. Cathryn Michon
    Cathryn Michon is an American screenwriter, author, and filmmaker known for adapting bestselling novels such as "A Dog’s Journey" for the screen.
  • 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de620f07bc81909212dcd1c91b5f95 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd1959f3d481909c15730bbd6f4748 completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1:06 a.m.