Triple

T5773182
Position Surface form Disambiguated ID Type / Status
Subject Philippe Noiret E127375 entity
Predicate notableWork P4 FINISHED
Object Il Postino E461891 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: Il Postino | Statement: [Philippe Noiret, notableWork, Il Postino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Il Postino
Context triple: [Philippe Noiret, notableWork, Il Postino]
  • A. Il Postino chosen
    Il Postino is a 1994 Italian film that tells the story of a shy postman whose friendship with exiled poet Pablo Neruda awakens his love of poetry and romance.
  • B. Novecento
    Novecento is a conceptual artwork by Maurizio Cattelan featuring a taxidermied horse suspended from the ceiling, emblematic of his darkly humorous and provocative style.
  • C. Please, Mister Postman
    "Please, Mister Postman" is a political memoir by British Labour politician Alan Johnson, recounting his early life and experiences working as a postman.
  • D. Tadzio
    Tadzio is a beautiful Polish boy who becomes the obsessive muse of the aging writer Gustav von Aschenbach in Thomas Mann’s novella "Death in Venice."
  • E. Lost in Translation
    Lost in Translation is a critically acclaimed 2003 romantic dramedy film directed by Sofia Coppola, known for its subtle exploration of loneliness and connection between two Americans in Tokyo.
  • 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_69c00834f6308190851b0abeddd8ed7e completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c029af681081908276e99c568561ce completed March 22, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e686ad88190b34e5e94145b44dc completed March 22, 2026, 11:42 p.m.
Created at: March 22, 2026, 3:50 p.m.