Triple

T17551023
Position Surface form Disambiguated ID Type / Status
Subject Moët & Chandon E427462 entity
Predicate notableFor P22 FINISHED
Object Moët Impérial 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: Moët Impérial | Statement: [Moët & Chandon, notableFor, Moët Impérial]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moët Impérial
Context triple: [Moët & Chandon, notableFor, Moët Impérial]
  • A. Moët & Chandon chosen
    Moët & Chandon is a world-renowned French Champagne producer famous for its luxury sparkling wines and flagship Moët Impérial.
  • B. Veuve Clicquot
    Veuve Clicquot is a renowned French Champagne house famous for its premium sparkling wines and distinctive yellow label.
  • C. Jupiler
    Jupiler is a popular Belgian pilsner beer brand widely known for its strong association with football and major sports sponsorships.
  • D. Moët & Chandon Crémant Impérial champagne
    Moët & Chandon Crémant Impérial champagne is a sparkling wine from the renowned French Champagne house Moët & Chandon, known for its refined bubbles and elegant, celebratory style.
  • E. Moët Hennessy
    Moët Hennessy is a leading French producer and distributor of luxury wines and spirits, known for prestigious champagne and cognac brands.
  • 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_69d889df6dc081908f67dbadc03c07ee completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e454656dc08190bba85b93bd07b0a2 completed April 19, 2026, 4:04 a.m.
Created at: April 10, 2026, 5:50 a.m.