Triple

T6428817
Position Surface form Disambiguated ID Type / Status
Subject Vincente Minnelli E128125 entity
Predicate givenName P17 FINISHED
Object Vincente E115514 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: Vincente | Statement: [Vincente Minnelli, givenName, Vincente]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vincente
Context triple: [Vincente Minnelli, givenName, Vincente]
  • A. Vicente chosen
    Vicente is a given name, common in Spanish- and Portuguese-speaking countries, that corresponds to the English name Vincent.
  • B. Luciano
    Luciano is a masculine given name of Italian origin, famously borne by the renowned operatic tenor Luciano Pavarotti.
  • C. Leonardo Bravo
    Leonardo Bravo was a prominent insurgent leader in Mexico’s War of Independence, known for his role alongside José María Morelos in key campaigns against Spanish royalist forces.
  • D. Vincenzo
    Vincenzo is the Italian given name equivalent to Vincent, commonly used in Italy and among Italian-speaking communities.
  • E. Nacho Varga
    Nacho Varga is a calculating and morally conflicted cartel lieutenant in the television series "Better Call Saul," known for his intelligence, quiet intensity, and efforts to protect his family while navigating the criminal underworld.
  • 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_69c00838de888190af2eec0b80495efa completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c06922a27881908c5571f2aa31e0c1 completed March 22, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640e678608190b5a1dcd1076bc1f2 completed March 27, 2026, 8:33 a.m.
Created at: March 22, 2026, 4:44 p.m.