Triple

T13528556
Position Surface form Disambiguated ID Type / Status
Subject Avaldsnes IL E323072 entity
Predicate notablePlayer P304 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: [Avaldsnes IL, notablePlayer, Debinha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Debinha
Context triple: [Avaldsnes IL, notablePlayer, 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. Talita
    Talita is a central character in Julio Cortázar’s novel "Rayuela" ("Hopscotch"), known for her enigmatic presence and complex relationships within the bohemian Parisian and Buenos Aires circles depicted in the story.
  • D. Martita
    Martita is a Spanish affectionate diminutive form of the given name Marta, often used to express endearment or familiarity.
  • E. Dida
    Dida is a Brazilian former professional goalkeeper best known for his time at AC Milan, where he was regarded as one of the world’s top keepers in the early 2000s.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafb8e0cc8190b47f6aeb8ced470e completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76ba9fccc81908ec2e33d66aae8ea completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:44 p.m.