Triple

T12439105
Position Surface form Disambiguated ID Type / Status
Subject Geovany Soto E297224 entity
Predicate givenName P17 FINISHED
Object Geovany
Geovany is a masculine given name most notably borne by former Major League Baseball catcher Geovany Soto.
E983991 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: Geovany | Statement: [Geovany Soto, givenName, Geovany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geovany
Context triple: [Geovany Soto, givenName, Geovany]
  • A. Ian Gomez
    Ian Gomez is an American character actor best known for his comedic supporting roles on television series such as "Felicity" and "Cougar Town."
  • B. Gabriel Valenzuela
    Gabriel Valenzuela is a Colombian actor and model known for his roles in telenovelas and Latin American television.
  • C. Juan Vasquez
    Juan Vasquez is a songwriter credited for his work on the hit single "Taki Taki."
  • D. Álvaro
    Álvaro is a masculine given name of Spanish origin commonly used in Spain and Latin America.
  • E. Gonzalo Vivanco
    Gonzalo Vivanco is a Chilean actor known for his roles in Latin American television series and telenovelas.
  • 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: Geovany
Triple: [Geovany Soto, givenName, Geovany]
Generated description
Geovany is a masculine given name most notably borne by former Major League Baseball catcher Geovany Soto.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Geovany
Target entity description: Geovany is a masculine given name most notably borne by former Major League Baseball catcher Geovany Soto.
  • A. Ian Gomez
    Ian Gomez is an American character actor best known for his comedic supporting roles on television series such as "Felicity" and "Cougar Town."
  • B. Gabriel Valenzuela
    Gabriel Valenzuela is a Colombian actor and model known for his roles in telenovelas and Latin American television.
  • C. Juan Vasquez
    Juan Vasquez is a songwriter credited for his work on the hit single "Taki Taki."
  • D. Álvaro
    Álvaro is a masculine given name of Spanish origin commonly used in Spain and Latin America.
  • E. Gonzalo Vivanco
    Gonzalo Vivanco is a Chilean actor known for his roles in Latin American television series and telenovelas.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d8dc0f881908a3da736d8947ce1 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f0911a08190ba84a20950762e68 completed May 2, 2026, 6:14 p.m.
NEDg Description generation batch_69f640ef7dd08190bf78d04cffac1a44 completed May 2, 2026, 6:22 p.m.
NED2 Entity disambiguation (via description) batch_69f641abe114819093d99a327f2220c2 completed May 2, 2026, 6:25 p.m.
Created at: April 8, 2026, 9:55 p.m.