Triple

T22581946
Position Surface form Disambiguated ID Type / Status
Subject La locandiera E544587 entity
Predicate hasCharacter P2308 FINISHED
Object Fabrizio 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: Fabrizio | Statement: [La locandiera, hasCharacter, Fabrizio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fabrizio
Context triple: [La locandiera, hasCharacter, Fabrizio]
  • A. Fabrizio chosen
    Fabrizio is an Italian masculine given name of Latin origin, commonly used in Italy and among Italian-speaking communities.
  • B. Gaetano
    Gaetano is an Italian given name, historically notable as the birth name of Saint Cajetan, a prominent 16th-century Catholic priest and reformer.
  • C. Fiorenzo
    Fiorenzo is an Italian given name, notably borne by the celebrated professional cyclist Fiorenzo Magni.
  • D. Stefano
    Stefano is the Italian given name corresponding to the Hungarian name István, commonly used as a male first name in Italy.
  • E. Renzo
    Renzo is the given name of Renzo Piano, the renowned Italian architect known for designing landmark buildings such as the Centre Pompidou in Paris and The Shard in London.
  • 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_69e11e30d05481909df915354c89f0d6 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f15ff13e288190b5e4b527470be75e completed April 29, 2026, 1:33 a.m.
Created at: April 16, 2026, 8:53 p.m.