Triple

T22915711
Position Surface form Disambiguated ID Type / Status
Subject Kron Gracie E568727 entity
Predicate team P3756 FINISHED
Object Gracie Humaitá NE NERFINISHED

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: Gracie Humaitá | Statement: [Kron Gracie, team, Gracie Humaitá]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gracie Humaitá
Context triple: [Kron Gracie, team, Gracie Humaitá]
  • A. Gracie Humaitá chosen
    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.
  • B. Ava Guaraní
    Ava Guaraní is a distinct variety of the Guaraní language spoken by Ava Guaraní communities in parts of South America.
  • C. Graciela
    Graciela is a feminine given name of Spanish origin, often considered a variant of Graziella and related to the concept of grace.
  • D. Altagracia
    Altagracia is a town on Ometepe Island in southwestern Nicaragua, known for its proximity to Lake Nicaragua and its rich indigenous and colonial heritage.
  • E. Ana Gracia
    Ana Gracia is a Spanish actress best known for her roles in film and television, particularly in Spanish-language productions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2458d90c88190a58cead4e781ca6a completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18079217481908db98882929ac69a completed April 29, 2026, 3:52 a.m.
Created at: April 17, 2026, 3:42 p.m.