Triple

T13700552
Position Surface form Disambiguated ID Type / Status
Subject Il grande sogno E328503 entity
Predicate hasCastMember P2308 FINISHED
Object Riccardo Scamarcio E65179 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: Riccardo Scamarcio | Statement: [Il grande sogno, hasCastMember, Riccardo Scamarcio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Riccardo Scamarcio
Context triple: [Il grande sogno, hasCastMember, Riccardo Scamarcio]
  • A. Riccardo Scamarcio chosen
    Riccardo Scamarcio is an Italian actor and film producer known for his roles in both Italian cinema and international films such as "John Wick: Chapter 2."
  • B. Luca Marinelli
    Luca Marinelli is an acclaimed Italian actor known for his versatile performances in European cinema and international films such as "The Old Guard."
  • C. Gianmarco Tognazzi
    Gianmarco Tognazzi is an Italian actor, son of famed comedian Ugo Tognazzi, known for his work in both film and television.
  • D. Luca Ferraro
    Luca Ferraro is an individual notable enough to be recognized as a prominent bearer of the surname Ferraro.
  • E. Claudio Amendola
    Claudio Amendola is an Italian actor and director known for his work in film and television, including prominent roles in Italian dramas and comedies.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc879adc88190b03f1cf815b71061 completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbac7c8bbc81908c7aa15c6892be34 completed May 6, 2026, 9:02 p.m.
Created at: April 9, 2026, 9:54 p.m.