Triple

T9501073
Position Surface form Disambiguated ID Type / Status
Subject Gregorio E229139 entity
Predicate shortForm P43 FINISHED
Object Goyo
Goyo is a common Spanish nickname or short form of the given name Gregorio.
E329607 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: Goyo | Statement: [Gregorio, shortForm, Goyo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goyo
Context triple: [Gregorio, shortForm, Goyo]
  • A. Don Goyo
    Don Goyo is the affectionate local nickname for Popocatépetl, the active volcano near Mexico City that holds great cultural and spiritual significance in Mexican tradition.
  • B. Don Karlos
    Don Karlos is a historical drama by Friedrich Schiller that explores political intrigue, personal freedom, and moral conflict in the court of 16th-century Spain.
  • C. Conrado
    Conrado is a given name, primarily used in Spanish and Portuguese-speaking countries, that corresponds to the name Conrad.
  • D. Manu Pilas
    Manu Pilas is a singer best known for his powerful rendition of the Italian resistance song "Bella Ciao," which gained widespread popularity through its use in the TV series *Money Heist (La Casa de Papel)*.
  • E. Kid Gavilán
    Kid Gavilán was a Cuban professional boxer renowned for his flashy "bolo punch" and successful reign as one of the premier welterweight champions of the early 1950s.
  • 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: Goyo
Triple: [Gregorio, shortForm, Goyo]
Generated description
Goyo is a common Spanish nickname or short form of the given name Gregorio.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Goyo
Target entity description: Goyo is a common Spanish nickname or short form of the given name Gregorio.
  • A. Don Goyo chosen
    Don Goyo is the affectionate local nickname for Popocatépetl, the active volcano near Mexico City that holds great cultural and spiritual significance in Mexican tradition.
  • B. Don Karlos
    Don Karlos is a historical drama by Friedrich Schiller that explores political intrigue, personal freedom, and moral conflict in the court of 16th-century Spain.
  • C. Conrado
    Conrado is a given name, primarily used in Spanish and Portuguese-speaking countries, that corresponds to the name Conrad.
  • D. Manu Pilas
    Manu Pilas is a singer best known for his powerful rendition of the Italian resistance song "Bella Ciao," which gained widespread popularity through its use in the TV series *Money Heist (La Casa de Papel)*.
  • E. Kid Gavilán
    Kid Gavilán was a Cuban professional boxer renowned for his flashy "bolo punch" and successful reign as one of the premier welterweight champions of the early 1950s.
  • F. None of above.

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_69ca84753660819098e8d416e89e26ae completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd983d4b708190a4dfef1246986a26 completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d13a0a5ec881908bb1643d2bea2c9f completed April 4, 2026, 4:19 p.m.
NEDg Description generation batch_69d13b7752fc819094ceb0ade960ecad completed April 4, 2026, 4:25 p.m.
NED2 Entity disambiguation (via description) batch_69d13bc9f0dc8190879c37383b197a3b completed April 4, 2026, 4:26 p.m.
Created at: March 30, 2026, 7:57 p.m.