Triple

T22217735
Position Surface form Disambiguated ID Type / Status
Subject Antonio Saura E549118 entity
Predicate notableSeries P3199 FINISHED
Object Brigitte Bardot series 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: Brigitte Bardot series | Statement: [Antonio Saura, notableSeries, Brigitte Bardot series]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brigitte Bardot series
Context triple: [Antonio Saura, notableSeries, Brigitte Bardot series]
  • A. Behind Brigitte Bardot
    "Behind Brigitte Bardot" is a jazz album by arranger and composer Pete Rugolo, inspired by and thematically centered around the French actress Brigitte Bardot.
  • B. Emmanuelle
    Emmanuelle is a feminine given name of French origin, notably borne by Nobel Prize–winning scientist Emmanuelle Charpentier.
  • C. Brigitte Bardot chosen
    Brigitte Bardot is a French former film actress and sex symbol of the 1950s and 1960s who later became a prominent animal rights activist.
  • D. Tomba Emmanuelle
    Tomba Emmanuelle is a mausoleum and fresco-covered chapel in Oslo, Norway, renowned for Emanuel Vigeland’s dramatic, dimly lit murals exploring themes of life, death, and eroticism.
  • E. Le Fou et la Vénus
    Le Fou et la Vénus is a short poetic-prose piece by Charles Baudelaire, included among the vignettes of his collection Le Spleen de Paris.
  • 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_69e11e3f7e04819089806d81d5ac431e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b8ddb448190a45f0418d813afd0 completed April 28, 2026, 9:50 p.m.
Created at: April 16, 2026, 8:37 p.m.