Triple

T8065912
Position Surface form Disambiguated ID Type / Status
Subject Fabrizio Miccoli E188242 entity
Predicate givenName P17 FINISHED
Object Fabrizio E486426 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: Fabrizio | Statement: [Fabrizio Miccoli, givenName, Fabrizio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fabrizio
Context triple: [Fabrizio Miccoli, givenName, Fabrizio]
  • A. Fabrizio chosen
    Fabrizio is an Italian masculine given name of Latin origin, commonly used in Italy and among Italian-speaking communities.
  • B. Stefano
    Stefano is the Italian given name corresponding to the Hungarian name István, commonly used as a male first name in Italy.
  • C. 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.
  • D. Paolo
    Paolo is the Italian form of the given name Paul, commonly used in Italy and other Italian-speaking communities.
  • E. Enrico
    Enrico is the given name of Enrico Fermi, the renowned Italian-American physicist who helped develop the first nuclear reactor and made foundational contributions to quantum theory and nuclear physics.
  • 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_69ca82b42674819086840efea12478e5 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ff5547c8190a7ec5958a23e302f completed March 31, 2026, 3:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc65afac4819094282e7d63619111 completed April 2, 2026, 1:28 a.m.
Created at: March 30, 2026, 5:26 p.m.