Triple

T12284874
Position Surface form Disambiguated ID Type / Status
Subject Margarita E292802 entity
Predicate commonVariation P4680 FINISHED
Object Tommy's Margarita E292802 NE FINISHED

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: Tommy's Margarita | Statement: [Margarita, commonVariation, Tommy's Margarita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tommy's Margarita
Context triple: [Margarita, commonVariation, Tommy's Margarita]
  • A. One Margarita
    "One Margarita" is a popular country party anthem by American singer Luke Bryan, known for its laid-back beach vibe and catchy, summer-themed lyrics.
  • B. Tequila Sunrise
    Tequila Sunrise is a popular tequila-based cocktail typically made with orange juice and grenadine, known for its layered, sunrise-like appearance.
  • C. Tequila Sunrise
    Tequila Sunrise is a 1988 neo-noir crime thriller film starring Mel Gibson, Michelle Pfeiffer, and Kurt Russell, known for its stylish cinematography and romantic, drug-trade-centered plot.
  • D. Margarita chosen
    Margarita is a classic tequila-based cocktail typically made with lime juice and orange liqueur, often served in a salt-rimmed glass.
  • E. Margarita
    Margarita is a feminine given name of Spanish origin, equivalent to "Margaret" in English.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ab690ad081908c0ed3870ec82d53 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91d1ede3081908647595739c3e996 completed April 10, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e7315608190963c714a0b128dbb completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:52 p.m.