Triple

T9425591
Position Surface form Disambiguated ID Type / Status
Subject The New Power Generation E227255 entity
Predicate hasMember P10 FINISHED
Object Mayte Garcia E256411 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: Mayte Garcia | Statement: [The New Power Generation, hasMember, Mayte Garcia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mayte Garcia
Context triple: [The New Power Generation, hasMember, Mayte Garcia]
  • A. Mayte Garcia chosen
    Mayte Garcia is an American dancer, choreographer, and actress best known for her work with and marriage to the musician Prince.
  • B. Laura García
    Laura García is a common Spanish-language personal name shared by multiple notable individuals across fields such as journalism, politics, and the arts.
  • C. Marta Ornelas
    Marta Ornelas is a Mexican former opera singer and stage director best known as the longtime wife of renowned Spanish tenor Plácido Domingo.
  • D. Victoria Villarruel
    Victoria Villarruel is an Argentine lawyer and politician known for her conservative stance on human rights issues and for serving as the country’s vice president alongside President Javier Milei.
  • E. Angelica Fuentes
    Angelica Fuentes is a Mexican businesswoman and philanthropist known for her leadership roles in the energy sector and in professional soccer, as well as her advocacy for women's empowerment in Latin America.
  • 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_69ca8436ba308190903e470776d2d893 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7c8f59dc8190854dfc0d287731c6 completed April 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12cd623308190ba55223399ee3aa8 completed April 4, 2026, 3:23 p.m.
Created at: March 30, 2026, 7:49 p.m.