Triple

T4035151
Position Surface form Disambiguated ID Type / Status
Subject Lady Bird E83810 entity
Predicate writer P1360 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: [Lady Bird, writer, Greta Gerwig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greta Gerwig
Context triple: [Lady Bird, writer, 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. Lulu Wang
    Lulu Wang is a Chinese-American filmmaker best known for writing and directing the critically acclaimed film "The Farewell."
  • E. 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."
  • 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_69aed92f7cf0819098e0539bdcc3767f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb11d92481909aaebbc250ff45b9 completed March 9, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5629748d88190984cce08eef05e9c completed March 14, 2026, 1:28 p.m.
Created at: March 9, 2026, 3:36 p.m.