Triple

T21828554
Position Surface form Disambiguated ID Type / Status
Subject Paolo Frisi E538923 entity
Predicate givenName P17 FINISHED
Object Paolo 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: Paolo | Statement: [Paolo Frisi, givenName, Paolo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paolo
Context triple: [Paolo Frisi, givenName, Paolo]
  • A. Paolo chosen
    Paolo is the Italian form of the given name Paul, commonly used in Italy and other Italian-speaking communities.
  • B. Pietro
    Pietro is the Italian given name equivalent to "Peter," commonly used in Italy and among Italian-speaking communities.
  • C. Pietro
    Pietro is a character from the television series "Firefly," appearing as part of the show's ensemble of distinctive supporting figures in its spacefaring universe.
  • D. 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.
  • E. Beniamino
    Beniamino is the Italian form of the given name Benjamin, commonly used in Italy and among Italian speakers.
  • 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_69e0c475cda88190987d08f23caebdc1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f091344c848190b1675432a8c255f2 completed April 28, 2026, 10:51 a.m.
Created at: April 16, 2026, 6:54 p.m.