Triple

T22092415
Position Surface form Disambiguated ID Type / Status
Subject Red Dawn (2012 film) E545942 entity
Predicate castMember P1668 FINISHED
Object Julian Alcaraz
Julian Alcaraz is an actor known for appearing in the 2012 remake of the action film "Red Dawn."
E1519184 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: Julian Alcaraz | Statement: [Red Dawn (2012 film), castMember, Julian Alcaraz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julian Alcaraz
Context triple: [Red Dawn (2012 film), castMember, Julian Alcaraz]
  • A. Gabriel Valenzuela
    Gabriel Valenzuela is a Colombian actor and model known for his roles in telenovelas and Latin American television.
  • B. Jordan Pacheco
    Jordan Pacheco is an American former Major League Baseball catcher and infielder who played for teams including the Colorado Rockies and Arizona Diamondbacks.
  • C. Peter Alvarado
    Peter Alvarado was an American animation artist best known for his background work on classic Warner Bros. cartoons.
  • D. Fabian Almazan
    Fabian Almazan is a Cuban-American jazz pianist and composer known for his innovative blend of modern jazz, classical influences, and environmental themes.
  • E. Eduardo Juárez
    Eduardo Juárez is the central protagonist of the Mexican telenovela "Mañana es para siempre," around whom the main romantic and dramatic conflicts revolve.
  • 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: Julian Alcaraz
Triple: [Red Dawn (2012 film), castMember, Julian Alcaraz]
Generated description
Julian Alcaraz is an actor known for appearing in the 2012 remake of the action film "Red Dawn."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Julian Alcaraz
Target entity description: Julian Alcaraz is an actor known for appearing in the 2012 remake of the action film "Red Dawn."
  • A. Gabriel Valenzuela
    Gabriel Valenzuela is a Colombian actor and model known for his roles in telenovelas and Latin American television.
  • B. Jordan Pacheco
    Jordan Pacheco is an American former Major League Baseball catcher and infielder who played for teams including the Colorado Rockies and Arizona Diamondbacks.
  • C. Peter Alvarado
    Peter Alvarado was an American animation artist best known for his background work on classic Warner Bros. cartoons.
  • D. Fabian Almazan
    Fabian Almazan is a Cuban-American jazz pianist and composer known for his innovative blend of modern jazz, classical influences, and environmental themes.
  • E. Eduardo Juárez
    Eduardo Juárez is the central protagonist of the Mexican telenovela "Mañana es para siempre," around whom the main romantic and dramatic conflicts revolve.
  • 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_69e11e36d03c8190a83a1ba802b7231b completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128e6b1d881909bf0f4a52199354c completed April 28, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a879b9130819089f8e2b7106f875b completed May 18, 2026, 3:29 a.m.
NEDg Description generation batch_6a0a891eb0708190a4575a01f45b98aa completed May 18, 2026, 3:35 a.m.
NED2 Entity disambiguation (via description) batch_6a0a89977c8c8190a5c87d1c2b68ed48 completed May 18, 2026, 3:37 a.m.
Created at: April 16, 2026, 8:29 p.m.