Triple

T4550068
Position Surface form Disambiguated ID Type / Status
Subject Marguerite E110139 entity
Predicate hasVariantForm P457 FINISHED
Object Marguerita E66654 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: Marguerita | Statement: [Marguerite, hasVariantForm, Marguerita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marguerita
Context triple: [Marguerite, hasVariantForm, Marguerita]
  • A. Margarita
    Margarita is a classic tequila-based cocktail typically made with lime juice and orange liqueur, often served in a salt-rimmed glass.
  • B. Margarita chosen
    Margarita is a feminine given name of Spanish origin, equivalent to "Margaret" in English.
  • C. Tequila and Bonetti
    Tequila and Bonetti is an early-1990s American comedy-drama television series about a New York cop partnered with a talking police dog in a California beach town.
  • D. Mojito
    Mojito is a classic Cuban cocktail typically made with white rum, fresh lime juice, mint, sugar, and soda water, known for its refreshing, citrusy-minty flavor.
  • E. Tequila Sunrise
    Tequila Sunrise is a popular tequila-based cocktail typically made with orange juice and grenadine, known for its layered, sunrise-like appearance.
  • 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_69bd4412524c8190be5bcc9ddee91848 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd57f3f8348190868e274ac4df87ce completed March 20, 2026, 2:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdc56c0ce08190beb9d4f468b988f7 completed March 20, 2026, 10:08 p.m.
Created at: March 20, 2026, 1:05 p.m.