Triple

T22462513
Position Surface form Disambiguated ID Type / Status
Subject Kahlúa E555264 entity
Predicate usedInCocktail P12771 FINISHED
Object Espresso Martini 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: Espresso Martini | Statement: [Kahlúa, usedInCocktail, Espresso Martini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Espresso Martini
Context triple: [Kahlúa, usedInCocktail, Espresso Martini]
  • A. Espresso Martini chosen
    Espresso Martini is a modern vodka-based cocktail that combines espresso, coffee liqueur, and sugar syrup, typically served in a martini glass with a creamy foam and coffee bean garnish.
  • B. Caffè Negroni
    Caffè Negroni is a historic Italian café located on Turin’s elegant Piazza San Carlo, known for its traditional atmosphere and classic drinks.
  • C. Martini
    Martini is a common Italian surname shared by various notable individuals in fields such as acting, sports, and politics.
  • D. Martini
    Martini is an iconic Italian brand best known for its vermouth and sponsorship of high-profile motorsport teams.
  • E. French Martini
    The French Martini is a modern vodka-based cocktail known for its fruity blend of pineapple juice and raspberry liqueur, yielding a smooth, slightly sweet, and elegant drink.
  • 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_69e11e51fdec8190adfdf9f8a6362221 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b80983081908084947b2e31c9d4 completed April 29, 2026, 1:14 a.m.
Created at: April 16, 2026, 8:48 p.m.