Triple

T18375915
Position Surface form Disambiguated ID Type / Status
Subject Intermission E446311 entity
Predicate editedBy P1954 FINISHED
Object Lucia Zucchetti NE NERFINISHED

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: Lucia Zucchetti | Statement: [Intermission, editedBy, Lucia Zucchetti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucia Zucchetti
Context triple: [Intermission, editedBy, Lucia Zucchetti]
  • A. Lucia Zucchetti chosen
    Lucia Zucchetti is a film editor known for her work on feature films including the British comedy-drama "Mrs Henderson Presents."
  • B. Valeria Bruni Tedeschi
    Valeria Bruni Tedeschi is an Italian-French actress, screenwriter, and film director known for her introspective, often autobiographical films and acclaimed performances in European cinema.
  • C. Ludovica Rampoldi
    Ludovica Rampoldi is an Italian screenwriter known for her work on acclaimed films and television series, including the mafia drama "The Traitor."
  • D. Eleonora Vallone
    Eleonora Vallone is an Italian actress and former model known for her film and television work in the late 20th century.
  • E. Fani Tardini
    Fani Tardini was a notable Romanian actress and theatre figure whose legacy is honored by a drama theatre bearing her name.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f370b88190b1e5081c2c238e7f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e51759353481908aa2de599fd2cf3b completed April 19, 2026, 5:56 p.m.
Created at: April 10, 2026, 10:45 a.m.