Triple

T20882768
Position Surface form Disambiguated ID Type / Status
Subject Cyril E514193 entity
Predicate hasVariant P455 FINISHED
Object Cirilo
Cirilo is a given name, commonly used in Spanish- and Portuguese-speaking countries, that is a variant of the name Cyril.
E1455641 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: Cirilo | Statement: [Cyril, hasVariant, Cirilo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cirilo
Context triple: [Cyril, hasVariant, Cirilo]
  • A. Gregorio
    Gregorio is a masculine given name of Latin origin, commonly used in Spanish and Italian-speaking cultures and derived from the name Gregory.
  • B. Elicio
    Elicio is a shepherd and one of the principal pastoral protagonists in Miguel de Cervantes’ early novel "La Galatea."
  • C. Timoteo
    Timoteo is a masculine given name, commonly used in Romance-language countries, derived from the biblical name Timothy.
  • D. Basilio
    Basilio is the King of Poland in Calderón de la Barca’s play "La vida es sueño," whose fatalistic decisions about his son’s destiny drive the central conflict of the drama.
  • E. Basilio
    Basilio is the witty, lovestruck barber and male lead in the ballet Don Quixote, renowned for his virtuosic, bravura dancing and comic charm.
  • 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: Cirilo
Triple: [Cyril, hasVariant, Cirilo]
Generated description
Cirilo is a given name, commonly used in Spanish- and Portuguese-speaking countries, that is a variant of the name Cyril.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cirilo
Target entity description: Cirilo is a given name, commonly used in Spanish- and Portuguese-speaking countries, that is a variant of the name Cyril.
  • A. Gregorio
    Gregorio is a masculine given name of Latin origin, commonly used in Spanish and Italian-speaking cultures and derived from the name Gregory.
  • B. Elicio
    Elicio is a shepherd and one of the principal pastoral protagonists in Miguel de Cervantes’ early novel "La Galatea."
  • C. Timoteo
    Timoteo is a masculine given name, commonly used in Romance-language countries, derived from the biblical name Timothy.
  • D. Basilio
    Basilio is the King of Poland in Calderón de la Barca’s play "La vida es sueño," whose fatalistic decisions about his son’s destiny drive the central conflict of the drama.
  • E. Basilio
    Basilio is the witty, lovestruck barber and male lead in the ballet Don Quixote, renowned for his virtuosic, bravura dancing and comic charm.
  • 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_69e0b4f733f081908a401c0b7beb0b9f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c67b03088190be7cbcde8c59509a completed April 21, 2026, 12:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0913a46d808190a39fc27ecbb31e99 completed May 17, 2026, 1:02 a.m.
NEDg Description generation batch_6a09145a9b0481909086941cdd981e1a completed May 17, 2026, 1:05 a.m.
NED2 Entity disambiguation (via description) batch_6a0914f1925081909bce8ad0932c6722 completed May 17, 2026, 1:08 a.m.
Created at: April 16, 2026, 12:46 p.m.