Triple

T22174864
Position Surface form Disambiguated ID Type / Status
Subject Ștefan E548020 entity
Predicate cognate P2527 FINISHED
Object Stefano 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: Stefano | Statement: [Ștefan, cognate, Stefano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stefano
Context triple: [Ștefan, cognate, Stefano]
  • A. Stefano chosen
    Stefano is the Italian given name corresponding to the Hungarian name István, commonly used as a male first name in Italy.
  • B. Fabrizio
    Fabrizio is an Italian masculine given name of Latin origin, commonly used in Italy and among Italian-speaking communities.
  • C. Stelio
    Stelio is the given name of Stelio Frati, an Italian aeronautical engineer and aircraft designer renowned for creating light, high-performance airplanes.
  • D. Gaetano
    Gaetano is an Italian given name, historically notable as the birth name of Saint Cajetan, a prominent 16th-century Catholic priest and reformer.
  • E. Paolo
    Paolo is the Italian form of the given name Paul, commonly used in Italy and other Italian-speaking communities.
  • 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_69e11e3d53f88190a2b690e3f25bb062 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12a6b755c81909e9bd2a588c065b3 completed April 28, 2026, 9:45 p.m.
Created at: April 16, 2026, 8:34 p.m.