Triple

T3672729
Position Surface form Disambiguated ID Type / Status
Subject Lost in Translation E77916 entity
Predicate writer P1360 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: [Lost in Translation, writer, Sofia Coppola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sofia Coppola
Context triple: [Lost in Translation, writer, 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. Penelope Spheeris
    Penelope Spheeris is an American film director best known for her work on the documentary trilogy "The Decline of Western Civilization" and for directing hit comedies in the 1980s and 1990s.
  • D. 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."
  • E. 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.
  • 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_69ad85e083008190b2e1b7085fe500bd completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc42f82548190b4d5f0fe7250decb completed March 8, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c3a047948190a50d1648fe209371 completed March 14, 2026, 2:10 a.m.
Created at: March 8, 2026, 3:25 p.m.