Triple

T1108749
Position Surface form Disambiguated ID Type / Status
Subject Greta Gerwig E25544 entity
Predicate name P16 FINISHED
Object Greta Gerwig E25544 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: Greta Gerwig | Statement: [Greta Gerwig, name, Greta Gerwig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greta Gerwig
Context triple: [Greta Gerwig, name, Greta Gerwig]
  • A. Greta Gerwig chosen
    Greta Gerwig is an American filmmaker and actress best known as the acclaimed writer-director of films like "Lady Bird," "Little Women," and the blockbuster "Barbie."
  • B. Marielle Heller
    Marielle Heller is an American filmmaker and actress best known for directing acclaimed character-driven films such as "The Diary of a Teenage Girl," "Can You Ever Forgive Me?," and "A Beautiful Day in the Neighborhood."
  • C. Sofia Coppola
    Sofia Coppola is an American filmmaker and screenwriter known for her atmospheric, character-driven films such as "Lost in Translation" and "The Virgin Suicides."
  • D. Rebecca Miller
    Rebecca Miller is an American filmmaker, screenwriter, and novelist known for works such as "Personal Velocity" and "The Private Lives of Pippa Lee."
  • E. Robin Swicord
    Robin Swicord is an American screenwriter and director known for her literary adaptations, including films such as Little Women (1994), Memoirs of a Geisha, and The Curious Case of Benjamin Button.
  • 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_69a49428d4448190b3b36991ceae87ce completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9e6134481909f348986a25f65c6 completed March 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac59a221888190a3ffdb713e7cd143 completed March 7, 2026, 5 p.m.
Created at: March 1, 2026, 7:43 p.m.