Triple

T22051551
Position Surface form Disambiguated ID Type / Status
Subject Pål E544895 entity
Predicate relatedName P3889 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: [Pål, relatedName, Paolo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paolo
Context triple: [Pål, relatedName, 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_69e11e32445c8190ab97089b48a130bb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1283386f081908b70df81f38a5b1c completed April 28, 2026, 9:35 p.m.
Created at: April 16, 2026, 8:26 p.m.