Triple

T10074490
Position Surface form Disambiguated ID Type / Status
Subject Fronton wine region E213714 entity
Predicate primaryGrape P975 FINISHED
Object Négrette E392519 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: Négrette | Statement: [Fronton wine region, primaryGrape, Négrette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Négrette
Context triple: [Fronton wine region, primaryGrape, Négrette]
  • A. Négrette chosen
    Négrette is a dark-skinned French wine grape variety known for producing deeply colored, aromatic red and rosé wines with floral and spicy notes, particularly in the southwest of France.
  • B. Havana Brown
    Havana Brown is an Australian DJ, singer, and producer best known for her dance-pop hits and energetic club performances.
  • C. Voletta
    Voletta is the first name of Voletta Wallace, best known as the mother of the late rapper The Notorious B.I.G.
  • D. Desiree
    "Desiree" is a 1940 film starring Merle Oberon, known as a romantic drama set against a historical backdrop.
  • E. A Negra
    A Negra is a seminal modernist painting by Brazilian artist Tarsila do Amaral that explores Afro-Brazilian identity through bold forms and vibrant colors.
  • 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_69ca839add308190b57d53b4ec21f2d0 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd017b8288190a577bd66e4ba66b7 completed April 2, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29abcb72c81908c265f057532ccb7 completed April 5, 2026, 5:24 p.m.
Created at: March 30, 2026, 8:59 p.m.