Triple

T21842409
Position Surface form Disambiguated ID Type / Status
Subject Detective Richard Willis E539286 entity
Predicate createdBy P806 FINISHED
Object Gillian Flynn 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: Gillian Flynn | Statement: [Detective Richard Willis, createdBy, Gillian Flynn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gillian Flynn
Context triple: [Detective Richard Willis, createdBy, Gillian Flynn]
  • A. Gillian Flynn chosen
    Gillian Flynn is an American author and screenwriter best known for her dark psychological thrillers such as "Gone Girl," many of which have been adapted for film and television.
  • B. Audrey Niffenegger
    Audrey Niffenegger is an American writer and artist best known for her bestselling time-travel romance novel "The Time Traveler’s Wife."
  • C. Paula Hawkins
    Paula Hawkins is a British author best known for her psychological thriller novel "The Girl on the Train," which was adapted into the 2016 film of the same name.
  • D. Dina Meyer
    Dina Meyer is an American actress best known for her roles in science fiction and horror films and television series, including the Saw franchise and Birds of Prey.
  • E. Alice Sebold
    Alice Sebold is an American author best known for her novels "The Lovely Bones" and "The Almost Moon," as well as her memoir "Lucky."
  • 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_69e0c476c3c88190a92d08ebb59a128a completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0a7ad76d48190a1905cfdbe866323 completed April 28, 2026, 12:27 p.m.
Created at: April 16, 2026, 6:55 p.m.