Triple

T9243109
Position Surface form Disambiguated ID Type / Status
Subject Pavao E222113 entity
Predicate equivalentName P6530 FINISHED
Object Paolo E29488 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: Paolo | Statement: [Pavao, equivalentName, Paolo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paolo
Context triple: [Pavao, equivalentName, 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. 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. Fabrizio
    Fabrizio is an Italian masculine given name of Latin origin, commonly used in Italy and among Italian-speaking communities.
  • E. Stefano
    Stefano is the Italian given name corresponding to the Hungarian name István, commonly used as a male first name in Italy.
  • 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_69ca83ee26cc81909ac624e190597d6d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cd03ec23ec8190993003a826372d40 completed April 1, 2026, 11:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69d100b8f80c8190bef93de787227a51 completed April 4, 2026, 12:14 p.m.
Created at: March 30, 2026, 7:30 p.m.