Triple

T23057149
Position Surface form Disambiguated ID Type / Status
Subject Sabrina Ferilli E574189 entity
Predicate notableWork P4 FINISHED
Object Faccione 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: Faccione | Statement: [Sabrina Ferilli, notableWork, Faccione]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faccione
Context triple: [Sabrina Ferilli, notableWork, Faccione]
  • A. Faccione chosen
    Faccione is an Italian comedy film directed by Christian De Sica.
  • B. Rivelli
    Rivelli is the Italian family name of actress Ornella Muti, known for her work in European and international cinema.
  • C. Rescigno
    Rescigno is an Italian surname associated with figures such as conductor Nicola Rescigno, known for his contributions to opera and classical music.
  • D. Luzzasco
    Luzzasco was an Italian Renaissance composer, organist, and teacher known for his expressive madrigals and influential work at the Este court in Ferrara.
  • E. Piovese
    Piovese is the Italian demonym for inhabitants of Piove di Sacco, a town in the Veneto region of northern Italy.
  • 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_69e245ba7ae48190be606dbc54120e39 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1868099708190b23725dc8a305e09 completed April 29, 2026, 4:18 a.m.
Created at: April 17, 2026, 3:55 p.m.