Triple

T17890875
Position Surface form Disambiguated ID Type / Status
Subject Vesper martini E447311 entity
Predicate hasIngredient P5291 FINISHED
Object Kina Lillet 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: Kina Lillet | Statement: [Vesper martini, hasIngredient, Kina Lillet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kina Lillet
Context triple: [Vesper martini, hasIngredient, Kina Lillet]
  • A. Kina Lillet chosen
    Kina Lillet was a French aromatized wine-based aperitif, flavored with quinine and citrus, historically used in classic cocktails such as the Vesper.
  • B. Le Vin
    Le Vin is a section of Charles Baudelaire’s poetry collection Les Fleurs du mal that explores themes of intoxication, escape, and existential despair through the motif of wine.
  • C. Champagne
    Champagne is a renowned wine-producing region in northeastern France famous for its sparkling wines made primarily from Chardonnay, Pinot Noir, and Pinot Meunier grapes.
  • D. Champagne
    "Champagne" is a track by the musical group Duotones, likely featuring their characteristic style and sound.
  • E. Sherry
    Sherry is a feminine given name commonly used in English-speaking countries, often associated with names like Cheryl or derived from the fortified wine sherry.
  • 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_69d8b9f59bd48190a6fc925a855b8bac completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49d7948888190b59ddc7061d13e84 completed April 19, 2026, 9:16 a.m.
Created at: April 10, 2026, 10:18 a.m.