Triple

T23501085
Position Surface form Disambiguated ID Type / Status
Subject Maurizio Lupi E571844 entity
Predicate givenName P17 FINISHED
Object Maurizio 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: Maurizio | Statement: [Maurizio Lupi, givenName, Maurizio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maurizio
Context triple: [Maurizio Lupi, givenName, Maurizio]
  • A. Maurizio chosen
    Maurizio is an Italian given name, equivalent to Maurice, commonly used in Italy and among Italian-speaking communities.
  • B. Giorgio
    Giorgio is a given name, primarily the Italian form of George, used as a masculine first name.
  • C. Pierluigi
    Pierluigi is the family name of the renowned Renaissance composer Giovanni Pierluigi da Palestrina, a central figure in 16th-century sacred music.
  • D. Antonio Napolioni
    Antonio Napolioni is an Italian Roman Catholic prelate who serves as the bishop leading the Diocese of Cremona.
  • E. Riccardo
    Riccardo is an Italian given name, equivalent to Richard in English.
  • 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_69e245b4829881909b77a70e942bbd54 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a8fc37908190af86a01ab85737d6 completed April 29, 2026, 6:45 a.m.
Created at: April 17, 2026, 6:06 p.m.