Triple

T14640308
Position Surface form Disambiguated ID Type / Status
Subject Bandidas E343703 entity
Predicate castMember P1668 FINISHED
Object Gary Carlos Cervantes
Gary Carlos Cervantes is a Mexican-American character actor known for his supporting roles in numerous films and television series, often portraying tough or comedic Latino characters.
 E1309938 NE FINISHED

How this triple was built (3 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.

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gary Carlos Cervantes
Context triple: [Bandidas, castMember, Gary Carlos Cervantes]
  • A. Jorge Huerta
    Jorge Huerta is a prominent Chicano theater scholar, director, and educator known for his pioneering work in documenting and advancing Latino/a performance in the United States.
  • B. Armando Villarreal
    Armando Villarreal is an American professional soccer referee who officiates in Major League Soccer and has been selected for high-profile matches and tournaments.
  • C. José Ochoa
    José Ochoa is a personal name shared by multiple individuals, and without additional context it most commonly refers to various Latin American professionals, artists, or public figures rather than a single widely recognized person.
  • D. Héctor Vivanco
    Héctor Vivanco is a notable individual recognized for achievements significant enough to be associated with the surname Vivanco.
  • E. Hiram Garcia
    Hiram Garcia is a film producer and longtime collaborator of Dwayne Johnson, known for producing major action and adventure movies through Seven Bucks Productions.
  • 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: Gary Carlos Cervantes
Triple: [Bandidas, castMember, Gary Carlos Cervantes]
Generated description
Gary Carlos Cervantes is a Mexican-American character actor known for his supporting roles in numerous films and television series, often portraying tough or comedic Latino characters.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gary Carlos Cervantes
Target entity description: Gary Carlos Cervantes is a Mexican-American character actor known for his supporting roles in numerous films and television series, often portraying tough or comedic Latino characters.
  • A. Jorge Huerta
    Jorge Huerta is a prominent Chicano theater scholar, director, and educator known for his pioneering work in documenting and advancing Latino/a performance in the United States.
  • B. Armando Villarreal
    Armando Villarreal is an American professional soccer referee who officiates in Major League Soccer and has been selected for high-profile matches and tournaments.
  • C. José Ochoa
    José Ochoa is a personal name shared by multiple individuals, and without additional context it most commonly refers to various Latin American professionals, artists, or public figures rather than a single widely recognized person.
  • D. Héctor Vivanco
    Héctor Vivanco is a notable individual recognized for achievements significant enough to be associated with the surname Vivanco.
  • E. Hiram Garcia
    Hiram Garcia is a film producer and longtime collaborator of Dwayne Johnson, known for producing major action and adventure movies through Seven Bucks Productions.
  • F. None of above. chosen

Provenance (4 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_69d822e1a2cc81908e5bb93cf61ce3cc completed April 9, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a038f9d1da08190b4e2f851518ab90b completed May 12, 2026, 8:37 p.m.
NEDg Description generation batch_6a03913ef29c8190a9655dba88a8ce8a completed May 12, 2026, 8:44 p.m.
NED2 Entity disambiguation (via description) batch_6a03925c322081909d435251e869194d completed May 12, 2026, 8:49 p.m.
Created at: April 10, 2026, 1:26 a.m.