Triple

T8639865
Position Surface form Disambiguated ID Type / Status
Subject Gone Girl E204618 entity
Predicate screenwriter P2831 FINISHED
Object Gillian Flynn E323615 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: Gillian Flynn | Statement: [Gone Girl, screenwriter, Gillian Flynn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gillian Flynn
Context triple: [Gone Girl, screenwriter, 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. 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.
  • C. 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.
  • D. Lionel Shriver
    Lionel Shriver is an American author best known for her provocative, psychologically incisive novels such as "We Need to Talk About Kevin."
  • E. Patrick DeWitt
    Patrick DeWitt is a Canadian novelist and screenwriter best known for his darkly comic, genre-bending works such as the award-winning Western novel "The Sisters Brothers."
  • 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_69ca834ca1c88190a11ffb0200342fac completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc47650a14819094855aa8d062ebbc completed March 31, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69ceccb10f0881908db334cd090d3231 completed April 2, 2026, 8:08 p.m.
Created at: March 30, 2026, 6:28 p.m.