Triple

T23529104
Position Surface form Disambiguated ID Type / Status
Subject Djanira da Motta e Silva E576513 entity
Predicate givenName P17 FINISHED
Object Djanira 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: Djanira | Statement: [Djanira da Motta e Silva, givenName, Djanira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Djanira
Context triple: [Djanira da Motta e Silva, givenName, Djanira]
  • A. Djanira chosen
    Djanira was a prominent Brazilian modernist painter known for her vivid depictions of everyday life, religious themes, and popular culture.
  • B. 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.
  • C. Dida
    "Dida" is a song best known from Joan Baez’s repertoire, often associated with her 1970s folk and singer-songwriter work.
  • D. Tatjana
    Tatjana is a feminine given name, commonly used in various European countries as a variant of Tatyana.
  • E. Martita
    Martita is a Spanish affectionate diminutive form of the given name Marta, often used to express endearment or familiarity.
  • 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_69e245f5a8848190a2ba42e271c6c31f completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1ac7646a48190b5dcbaf8c0c194df completed April 29, 2026, 7 a.m.
Created at: April 17, 2026, 6:09 p.m.