Triple

T12113097
Position Surface form Disambiguated ID Type / Status
Subject Vânia Nonnenmacher E288482 entity
Predicate child P120 FINISHED
Object Rafaela Bündchen E326265 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: Rafaela Bündchen | Statement: [Vânia Nonnenmacher, child, Rafaela Bündchen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rafaela Bündchen
Context triple: [Vânia Nonnenmacher, child, Rafaela Bündchen]
  • A. Rafaela Bündchen chosen
    Rafaela Bündchen is a member of the Bündchen family, known publicly as a relative of Brazilian supermodel Gisele Bündchen.
  • B. Graziella Bündchen
    Graziella Bündchen is the sister of Brazilian supermodel Gisele Bündchen and a member of the Bündchen family.
  • C. Raquel Bündchen
    Raquel Bündchen is a member of the Bündchen family, which is best known internationally through Brazilian supermodel Gisele Bündchen and her relatives.
  • D. Patricia Bündchen
    Patricia Bündchen is the fraternal twin sister of Brazilian supermodel Gisele Bündchen, known for working closely with her as a manager and business partner.
  • E. Gisele Bündchen
    Gisele Bündchen is a Brazilian supermodel and environmental activist widely recognized as one of the most successful and influential fashion models of all time.
  • 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_69d6ab4a5c448190a110d1273314b21a completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9156814148190b47d63a89fcab17c completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63ee285208190a0183e30c749f955 completed May 2, 2026, 6:13 p.m.
Created at: April 8, 2026, 9:49 p.m.