Triple

T23056944
Position Surface form Disambiguated ID Type / Status
Subject Toni Servillo E574183 entity
Predicate collaboratedWith P435 FINISHED
Object Matteo Garrone 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: Matteo Garrone | Statement: [Toni Servillo, collaboratedWith, Matteo Garrone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matteo Garrone
Context triple: [Toni Servillo, collaboratedWith, Matteo Garrone]
  • A. Matteo Garrone chosen
    Matteo Garrone is an acclaimed Italian film director best known internationally for his gritty, visually striking dramas such as "Gomorrah" and "Dogman."
  • B. Edoardo Gabbriellini
    Edoardo Gabbriellini is an Italian actor and film director known for his work in contemporary Italian cinema.
  • C. Pierfrancesco Favino
    Pierfrancesco Favino is an acclaimed Italian actor known for his versatile performances in both Italian cinema and international films.
  • D. Valerio Mastandrea
    Valerio Mastandrea is an Italian actor known for his versatile performances in both dramatic and comedic films and television.
  • E. Nanni Moretti
    Nanni Moretti is an acclaimed Italian film director, screenwriter, producer, and actor known for his introspective, often politically charged auteur cinema, including films like "Dear Diary" and "The Son's Room."
  • 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.