Triple

T13240227
Position Surface form Disambiguated ID Type / Status
Subject Good Behavior E315260 entity
Predicate starring P1507 FINISHED
Object Juan Diego Botto
Juan Diego Botto is an Argentine-Spanish actor known for his work in film, television, and theater, including prominent roles in international TV dramas.
E1065046 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: Juan Diego Botto | Statement: [Good Behavior, starring, Juan Diego Botto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juan Diego Botto
Context triple: [Good Behavior, starring, Juan Diego Botto]
  • A. Diego Fagúndez
    Diego Fagúndez is a Uruguayan-American professional soccer midfielder known for his long tenure in Major League Soccer, particularly with the New England Revolution and later Austin FC.
  • B. Diego Funes
    Diego Funes is known as the son of Mauricio Funes, the former president of El Salvador.
  • C. Gonzalo Vivanco
    Gonzalo Vivanco is a Chilean actor known for his roles in Latin American television series and telenovelas.
  • D. Carlos Bobadilla
    Carlos Bobadilla is a notable individual distinguished enough to be specifically cited as a bearer of the Bobadilla surname.
  • E. Diego Méndez
    Diego Méndez was a Spanish architect best known for co-designing the monumental Franco-era basilica and memorial complex at the Valle de los Caídos near Madrid.
  • 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: Juan Diego Botto
Triple: [Good Behavior, starring, Juan Diego Botto]
Generated description
Juan Diego Botto is an Argentine-Spanish actor known for his work in film, television, and theater, including prominent roles in international TV dramas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Juan Diego Botto
Target entity description: Juan Diego Botto is an Argentine-Spanish actor known for his work in film, television, and theater, including prominent roles in international TV dramas.
  • A. Diego Fagúndez
    Diego Fagúndez is a Uruguayan-American professional soccer midfielder known for his long tenure in Major League Soccer, particularly with the New England Revolution and later Austin FC.
  • B. Diego Funes
    Diego Funes is known as the son of Mauricio Funes, the former president of El Salvador.
  • C. Gonzalo Vivanco
    Gonzalo Vivanco is a Chilean actor known for his roles in Latin American television series and telenovelas.
  • D. Carlos Bobadilla
    Carlos Bobadilla is a notable individual distinguished enough to be specifically cited as a bearer of the Bobadilla surname.
  • E. Diego Méndez
    Diego Méndez was a Spanish architect best known for co-designing the monumental Franco-era basilica and memorial complex at the Valle de los Caídos near Madrid.
  • 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_69d806b1072881909e46bd212259c5f0 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d5850ac8190849a51da39efe5be completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0d3cf3881908fdfc56bd31e5fe2 completed May 3, 2026, 9:40 p.m.
NEDg Description generation batch_69f7c18a032481909fc1e97883062170 completed May 3, 2026, 9:43 p.m.
NED2 Entity disambiguation (via description) batch_69f7c21231f48190ae6e2bdb2bbc0afd completed May 3, 2026, 9:45 p.m.
Created at: April 9, 2026, 9:23 p.m.