Triple

T3048966
Position Surface form Disambiguated ID Type / Status
Subject Debinha E83521 entity
Predicate nickname P55 FINISHED
Object Debinha E83521 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: Debinha | Statement: [Debinha, nickname, Debinha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Debinha
Context triple: [Debinha, nickname, Debinha]
  • A. Debinha chosen
    Debinha is a Brazilian professional footballer renowned as one of the top attacking midfielders/forwards in women’s soccer, starring for both the Brazil national team and in the National Women’s Soccer League.
  • B. Djanira
    Djanira was a prominent Brazilian modernist painter known for her vivid depictions of everyday life, religious themes, and popular culture.
  • C. Vavá
    Vavá was a prolific Brazilian striker renowned for scoring in two consecutive World Cup finals and helping Brazil win the 1958 and 1962 tournaments.
  • D. Daniela Andrade
    Daniela Andrade is a Canadian singer-songwriter and YouTube artist known for her intimate acoustic covers and original indie-pop music.
  • E. Justina Machado
    Justina Machado is an American actress best known for her lead role as Penelope Alvarez in the 2017 reboot of the sitcom "One Day at a Time," as well as for prominent performances in series like "Six Feet Under" and "Queen of the South."
  • 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_69ad8b24924c8190a9bb6f61d519e4ae completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9bb00a348190877c9cbf0f13cba4 completed March 8, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1eef7d1e081908535b7d972a147eb completed March 11, 2026, 10:38 p.m.
Created at: March 8, 2026, 3:01 p.m.