Triple

T22748989
Position Surface form Disambiguated ID Type / Status
Subject Vittorio Jano E562638 entity
Predicate givenName P17 FINISHED
Object Vittorio 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: Vittorio | Statement: [Vittorio Jano, givenName, Vittorio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vittorio
Context triple: [Vittorio Jano, givenName, Vittorio]
  • A. Vittorio chosen
    Vittorio is an Italian given name commonly used for men, derived from the Latin "Victor" meaning "winner" or "conqueror."
  • B. Vincenzo
    Vincenzo is the Italian given name equivalent to Vincent, commonly used in Italy and among Italian-speaking communities.
  • C. Umberto
    Umberto was the given name of Umberto I, the 19th-century King of Italy who reigned from 1878 to 1900.
  • D. Giorgio
    Giorgio is a given name, primarily the Italian form of George, used as a masculine first name.
  • 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 (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_69e24551ec7881909a9c924dbea155f6 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f179b822988190b5368ac1f4e1d70a completed April 29, 2026, 3:23 a.m.
Created at: April 17, 2026, 3:24 p.m.