Triple

T16324039
Position Surface form Disambiguated ID Type / Status
Subject Patty Bouvier E396368 entity
Predicate familyName P18 FINISHED
Object Bouvier E99396 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: Bouvier | Statement: [Patty Bouvier, familyName, Bouvier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bouvier
Context triple: [Patty Bouvier, familyName, Bouvier]
  • A. Bouvier chosen
    Bouvier is the maiden surname of Jacqueline Kennedy Onassis, associated with a prominent American socialite and political family.
  • B. Bouvier des Flandres
    The Bouvier des Flandres is a powerful, rugged herding and working dog breed from Belgium, known for its dense, tousled coat, strong build, and calm, loyal temperament.
  • C. Briard
    The Briard is a large, rugged French herding dog breed known for its long, wavy coat, strong work ethic, and loyal, protective nature.
  • D. Dogue de Bordeaux
    The Dogue de Bordeaux is a powerful, large French mastiff-type dog breed known for its massive head, muscular build, and loyal, protective nature.
  • E. Belgian Shepherd Dog
    The Belgian Shepherd Dog is a versatile, intelligent herding breed from Belgium, known for its four distinct varieties and frequent use in police, military, and protection work.
  • 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e296b8fe988190adee72b23246052f completed April 17, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00260ab4208190900f21cb4f08f926 completed May 10, 2026, 6:30 a.m.
Created at: April 10, 2026, 5:06 a.m.