Triple

T21994766
Position Surface form Disambiguated ID Type / Status
Subject Francisca Pizarro Yupanqui E543176 entity
Predicate givenName P17 FINISHED
Object Francisca 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: Francisca | Statement: [Francisca Pizarro Yupanqui, givenName, Francisca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Francisca
Context triple: [Francisca Pizarro Yupanqui, givenName, Francisca]
  • A. Francisca chosen
    Francisca is a feminine given name, used in various European and Latin American cultures, that is cognate with the English name Frances.
  • B. Alfonsa
    Alfonsa is a feminine given name, primarily used in Romance-language cultures, derived from the masculine name Alfonso.
  • C. Rosana
    Rosana is a municipality in the state of São Paulo, Brazil, known for hosting a campus of São Paulo State University (UNESP).
  • D. Rosana
    Rosana is a Brazilian professional footballer known for her successful international career and contributions to top women’s clubs, including Avaldsnes IL.
  • E. Crispina
    Crispina is a vulnerable, mentally challenged young woman confined to a brutal Irish Magdalene asylum in the film "The Magdalene Sisters," symbolizing the systemic abuse and dehumanization inflicted on women there.
  • 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_69e11e2c814c8190837d072789000486 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127639bf48190800b3fa3c1527983 completed April 28, 2026, 9:32 p.m.
Created at: April 16, 2026, 8:18 p.m.