Triple

T7659478
Position Surface form Disambiguated ID Type / Status
Subject Justina Machado E173466 entity
Predicate playedCharacter P1507 FINISHED
Object Brenda E452857 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: Brenda | Statement: [Justina Machado, playedCharacter, Brenda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brenda
Context triple: [Justina Machado, playedCharacter, Brenda]
  • A. Brenda chosen
    Brenda is a feminine given name commonly used in English-speaking countries.
  • B. Bridgette
    Bridgette is a feminine given name commonly used in English-speaking countries, often considered a variant of "Bridget."
  • C. Sandra
    Sandra is a 1965 Italian drama film by Luchino Visconti, noted for its modern reworking of the Electra myth and its exploration of family secrets and guilt.
  • D. Sandra
    Sandra is a German pop singer best known for her 1980s Eurodisco hits such as "Maria Magdalena" and "In the Heat of the Night."
  • E. Sandra
    Sandra is a feminine given name of Greek origin meaning "defender of mankind," commonly used in many English-speaking and European countries.
  • 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_69c69955517c819085bc715b96d304d2 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701a32f588190a7a923e8ce43f727 completed March 27, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89b14b6848190892a262903d78b79 completed March 29, 2026, 3:23 a.m.
Created at: March 27, 2026, 3:59 p.m.