Triple

T13982921
Position Surface form Disambiguated ID Type / Status
Subject How the García Girls Lost Their Accents E336358 entity
Predicate featuresCharacter P626 FINISHED
Object Carlos García E569832 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: Carlos García | Statement: [How the García Girls Lost Their Accents, featuresCharacter, Carlos García]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carlos García
Context triple: [How the García Girls Lost Their Accents, featuresCharacter, Carlos García]
  • A. Carlos García chosen
    Carlos García is a common Spanish-language personal name shared by numerous notable individuals across fields such as sports, politics, and the arts.
  • B. Carlos García Camader
    Carlos García Camader is a Peruvian Roman Catholic prelate who serves as the bishop of the Diocese of Lurín.
  • C. Carlos Bustos
    Carlos Bustos is an Argentine football manager and former player known for coaching various Latin American clubs, including Dorados de Sinaloa in Mexico.
  • D. Javier Ponce Cevallos
    Javier Ponce Cevallos is an Ecuadorian politician who has served as the country's Minister of Defense.
  • E. Santiago García Sanabria
    Santiago García Sanabria was a prominent Spanish mayor of Santa Cruz de Tenerife whose leadership and legacy are commemorated by the central urban park that bears his name.
  • 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_69d81c639e808190a0e4b4f3d31c6a59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ea2e8808190a1203a6386224bd8 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1e5f2008190a0701ae37ed5219d completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:18 p.m.