Triple

T8856711
Position Surface form Disambiguated ID Type / Status
Subject Margarita Schuyler E210775 entity
Predicate givenName P17 FINISHED
Object Margarita 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: Margarita | Statement: [Margarita Schuyler, givenName, Margarita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margarita
Context triple: [Margarita Schuyler, givenName, Margarita]
  • A. Margarita chosen
    Margarita is a feminine given name of Spanish origin, equivalent to "Margaret" in English.
  • B. Margarita
    Margarita is a classic tequila-based cocktail typically made with lime juice and orange liqueur, often served in a salt-rimmed glass.
  • 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. The Bottle of Anís del Mono
    The Bottle of Anís del Mono is a famous Cubist still-life painting by Juan Gris, notable for its fragmented depiction of a popular Spanish anisette bottle.
  • E. Gordita
    "Gordita" is a reggaeton-influenced track by Colombian singer Shakira, featuring Puerto Rican rapper Residente of Calle 13, known for its playful lyrics and fusion of Latin and urban sounds.
  • 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_69ca838bbddc8190ab546d737e5d350f completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60e259248190abd334bbfcdcb955 completed April 1, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa0a8c0a48190b362685682e13460 completed April 3, 2026, 11:12 a.m.
Created at: March 30, 2026, 6:50 p.m.