Triple

T14640684
Position Surface form Disambiguated ID Type / Status
Subject El Callejón de los Milagros E343711 entity
Predicate distributor P1951 FINISHED
Object Alianza Cinematográfica
Alianza Cinematográfica is a film distribution company known for releasing Spanish-language and Latin American movies.
 E1306274 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: Alianza Cinematográfica
Context triple: [El Callejón de los Milagros, distributor, Alianza Cinematográfica]
  • A. Instituto Mexicano de Cinematografía
    The Instituto Mexicano de Cinematografía is Mexico’s national film agency responsible for promoting, supporting, and developing the country’s film industry and cinematic culture.
  • B. Ciné-Alliance
    Ciné-Alliance was a French film production company active in the early 20th century, involved in producing feature films during the 1930s.
  • C. Instituto Nacional de Cine y Artes Audiovisuales
    The Instituto Nacional de Cine y Artes Audiovisuales is Argentina’s national film institute, responsible for promoting, regulating, and supporting the country’s film and audiovisual industry.
  • D. Instituto de Investigaciones y Experiencias Cinematográficas
    The Instituto de Investigaciones y Experiencias Cinematográficas was a pioneering Spanish film school and research center in Madrid that trained many of the country’s most important filmmakers.
  • E. Morfina Films
    Morfina Films is a film production company known for producing the Spanish drama film "Tristana."
  • 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: Alianza Cinematográfica
Triple: [El Callejón de los Milagros, distributor, Alianza Cinematográfica]
Generated description
Alianza Cinematográfica is a film distribution company known for releasing Spanish-language and Latin American movies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alianza Cinematográfica
Target entity description: Alianza Cinematográfica is a film distribution company known for releasing Spanish-language and Latin American movies.
  • A. Instituto Mexicano de Cinematografía
    The Instituto Mexicano de Cinematografía is Mexico’s national film agency responsible for promoting, supporting, and developing the country’s film industry and cinematic culture.
  • B. Ciné-Alliance
    Ciné-Alliance was a French film production company active in the early 20th century, involved in producing feature films during the 1930s.
  • C. Instituto Nacional de Cine y Artes Audiovisuales
    The Instituto Nacional de Cine y Artes Audiovisuales is Argentina’s national film institute, responsible for promoting, regulating, and supporting the country’s film and audiovisual industry.
  • D. Instituto de Investigaciones y Experiencias Cinematográficas
    The Instituto de Investigaciones y Experiencias Cinematográficas was a pioneering Spanish film school and research center in Madrid that trained many of the country’s most important filmmakers.
  • E. Morfina Films
    Morfina Films is a film production company known for producing the Spanish drama film "Tristana."
  • 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_6a037c1ca5408190ba46c0ce5515062a completed May 12, 2026, 7:14 p.m.
NEDg Description generation batch_6a037ca6f5888190b0ed34777aae862f completed May 12, 2026, 7:16 p.m.
NED2 Entity disambiguation (via description) batch_6a037d319be48190b01a1b8d1f239078 completed May 12, 2026, 7:19 p.m.
Created at: April 10, 2026, 1:26 a.m.