Triple

T6474696
Position Surface form Disambiguated ID Type / Status
Subject Ava Guaraní E146039 entity
Predicate hasAlternativeName P39 FINISHED
Object Ava Guarani E146039 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: Ava Guarani | Statement: [Ava Guaraní, hasAlternativeName, Ava Guarani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ava Guarani
Context triple: [Ava Guaraní, hasAlternativeName, Ava Guarani]
  • A. Ava Guaraní chosen
    Ava Guaraní is a distinct variety of the Guaraní language spoken by Ava Guaraní communities in parts of South America.
  • B. Gracie Humaitá
    Gracie Humaitá is a renowned Brazilian jiu-jitsu academy and team founded by members of the Gracie family, known for producing many world-class practitioners and champions.
  • C. Aurora Miranda
    Aurora Miranda was a Brazilian singer and actress, known for her vibrant musical performances in mid-20th-century films and for popularizing Brazilian music internationally.
  • D. Alejandra
    Alejandra is the feminine given name corresponding to Alejandro, commonly used in Spanish-speaking cultures.
  • E. Amada Cruz
    Amada Cruz is an American museum director and arts administrator known for leading major art institutions, including serving as director of the Seattle Art Museum.
  • 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_69c008fec7408190af7b146dc63d9750 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a341360819082f2b5496a1a68b0 completed March 22, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c653a595b881909e5d3cb781ad5ad4 completed March 27, 2026, 9:53 a.m.
Created at: March 22, 2026, 4:50 p.m.