Triple

T1258122
Position Surface form Disambiguated ID Type / Status
Subject Francis Ford Coppola E12438 entity
Predicate child P120 FINISHED
Object Sofia Coppola E78501 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: Sofia Coppola | Statement: [Francis Ford Coppola, child, Sofia Coppola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sofia Coppola
Context triple: [Francis Ford Coppola, child, Sofia Coppola]
  • A. Sofia Coppola chosen
    Sofia Coppola is an American filmmaker and screenwriter known for her atmospheric, character-driven films such as "Lost in Translation" and "The Virgin Suicides."
  • B. 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."
  • C. Greta Gerwig
    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."
  • D. Ellen Kuras
    Ellen Kuras is an acclaimed American cinematographer known for her innovative visual style on films such as "Eternal Sunshine of the Spotless Mind" and numerous documentaries.
  • E. 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."
  • 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_69a4933352e08190ac617291985e76c0 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4bfaa2b508190a3f61c67b3fa3ad4 completed March 1, 2026, 10:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69acb2fa8aec8190ad68b9dc87c85cfc completed March 7, 2026, 11:21 p.m.
Created at: March 1, 2026, 7:50 p.m.