Triple

T21414913
Position Surface form Disambiguated ID Type / Status
Subject CQ E528273 entity
Predicate castMember P1668 FINISHED
Object Giancarlo Giannini 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: Giancarlo Giannini | Statement: [CQ, castMember, Giancarlo Giannini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Giancarlo Giannini
Context triple: [CQ, castMember, Giancarlo Giannini]
  • A. Giancarlo Giannini chosen
    Giancarlo Giannini is an acclaimed Italian actor and voice actor known for his intense performances in European cinema and international films, as well as for dubbing prominent Hollywood actors into Italian.
  • B. Fabrizio Gifuni
    Fabrizio Gifuni is an Italian actor known for his intense, character-driven performances in film, television, and theater.
  • C. Gian Luca Gregori
    Gian Luca Gregori is an Italian academic who serves as the rector of Marche Polytechnic University.
  • D. Arnaldo Forlani
    Arnaldo Forlani was an Italian Christian Democratic politician who served as Prime Minister of Italy in the early 1980s and held several key government and party leadership roles during the postwar period.
  • E. Fabrizio Lucci
    Fabrizio Lucci is an Italian cinematographer known for his work on contemporary Italian films and television, including collaborations with prominent directors.
  • 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_69e0c454c248819093425d1099101c09 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee62d16bfc8190a1c08dd9d0c80e02 completed April 26, 2026, 7:09 p.m.
Created at: April 16, 2026, 5:45 p.m.