Triple

T11320133
Position Surface form Disambiguated ID Type / Status
Subject Vincenzo Natali E268070 entity
Predicate givenName P17 FINISHED
Object Vincenzo E114360 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: Vincenzo | Statement: [Vincenzo Natali, givenName, Vincenzo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vincenzo
Context triple: [Vincenzo Natali, givenName, Vincenzo]
  • A. Vincenzo chosen
    Vincenzo is the Italian given name equivalent to Vincent, commonly used in Italy and among Italian-speaking communities.
  • B. Vittorio
    Vittorio is an Italian given name commonly used for men, derived from the Latin "Victor" meaning "winner" or "conqueror."
  • C. Gaetano
    Gaetano is an Italian given name, historically notable as the birth name of Saint Cajetan, a prominent 16th-century Catholic priest and reformer.
  • D. Ignazio
    Ignazio is an Italian given name, cognate to Ignacy and typically associated with the Latin-rooted names Ignatius and Ignacio.
  • E. Giacinto
    Giacinto is an Italian masculine given name of Latin origin, traditionally associated with the name Hyacinth.
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9de875481908acfa56015d4b46f completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e543055b588190a417b3d50ade989a completed April 19, 2026, 9:03 p.m.
Created at: April 8, 2026, 9:32 p.m.