Triple

T12529360
Position Surface form Disambiguated ID Type / Status
Subject Enrique E299519 entity
Predicate hasShortForm P43 FINISHED
Object Quique
Quique is a common Spanish diminutive or nickname for the given name Enrique.
E986203 NE FINISHED

How this triple was built (4 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: Quique | Statement: [Enrique, hasShortForm, Quique]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quique
Context triple: [Enrique, hasShortForm, Quique]
  • A. Juano
    Juano is the given name of Juano Hernández, a pioneering Afro-Puerto Rican actor known for his influential roles in mid-20th-century American cinema.
  • B. Elicio
    Elicio is a shepherd and one of the principal pastoral protagonists in Miguel de Cervantes’ early novel "La Galatea."
  • C. Cansino
    Cansino is the original family surname of Hollywood actress and dancer Rita Hayworth, reflecting her Spanish heritage.
  • D. Jorge
    Jorge is a character portrayed by actor Giancarlo Esposito, known for his nuanced and often intense roles in film and television.
  • E. Jorge
    Jorge is the birth name of Pope Francis, the head of the Roman Catholic Church and the first pope from the Americas.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Quique
Triple: [Enrique, hasShortForm, Quique]
Generated description
Quique is a common Spanish diminutive or nickname for the given name Enrique.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Quique
Target entity description: Quique is a common Spanish diminutive or nickname for the given name Enrique.
  • A. Juano
    Juano is the given name of Juano Hernández, a pioneering Afro-Puerto Rican actor known for his influential roles in mid-20th-century American cinema.
  • B. Elicio
    Elicio is a shepherd and one of the principal pastoral protagonists in Miguel de Cervantes’ early novel "La Galatea."
  • C. Cansino
    Cansino is the original family surname of Hollywood actress and dancer Rita Hayworth, reflecting her Spanish heritage.
  • D. Jorge
    Jorge is a masculine given name of Spanish and Portuguese origin, equivalent to George in English.
  • E. Jorge
    Jorge is a character portrayed by actor Giancarlo Esposito, known for his nuanced and often intense roles in film and television.
  • F. None of above. chosen

Provenance (5 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9545e90948190980bd4d64964a0f2 completed April 10, 2026, 7:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bc674e881908673e1f9103cc8be completed May 2, 2026, 7:08 p.m.
NEDg Description generation batch_69f64c7d337c81909ee9ea52158a756f completed May 2, 2026, 7:11 p.m.
NED2 Entity disambiguation (via description) batch_69f64d653b988190b11d061f55ef7192 completed May 2, 2026, 7:15 p.m.
Created at: April 8, 2026, 9:57 p.m.