Triple

T21583821
Position Surface form Disambiguated ID Type / Status
Subject J.B.G. E532588 entity
Predicate partOfAlbum P35 FINISHED
Object Gourmandises 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: Gourmandises | Statement: [J.B.G., partOfAlbum, Gourmandises]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gourmandises
Context triple: [J.B.G., partOfAlbum, Gourmandises]
  • A. Gourmandises chosen
    Gourmandises is the debut studio album by French pop singer Alizée, known for its catchy electronic pop sound and international hit singles.
  • B. Délices
    Délices is a metro station in Lausanne, Switzerland, located on the city’s M2 line.
  • C. Monplaisir
    Monplaisir is a residential and historically significant neighborhood in Lyon, France, known for its association with the Lumière brothers and early cinema.
  • D. Les Pralies
    Les Pralies is a small locality or hamlet within the municipality of Saint-Cergue in the Swiss canton of Vaud, situated in the Jura mountain region.
  • E. La Pâtisserie
    La Pâtisserie is a genre painting by French artist Jean Béraud that vividly captures Parisian bourgeois life inside a pastry shop during the late 19th century.
  • 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_69e0c4618bec8190bcb0feb74568cbb1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeeb5f2cc0819095552de70eb2ad8d completed April 27, 2026, 4:51 a.m.
Created at: April 16, 2026, 6:31 p.m.