Triple

T14640699
Position Surface form Disambiguated ID Type / Status
Subject El Callejón de los Milagros E343711 entity
Predicate musicBy P1952 FINISHED
Object Leonardo Velázquez
Leonardo Velázquez was a Mexican composer best known for his evocative film scores in Mexican cinema, including work on acclaimed dramas of the late 20th century.
E1306275 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: Leonardo Velázquez
Context triple: [El Callejón de los Milagros, musicBy, Leonardo Velázquez]
  • A. Diego Velázquez
    Diego Velázquez was a leading 17th-century Spanish painter renowned for his masterful realism and influential works such as "Las Meninas," which made him a central figure of the Spanish Golden Age.
  • B. Fernando Velázquez
    Fernando Velázquez is a Spanish film composer and conductor known for his evocative orchestral scores for movies such as "The Orphanage," "The Impossible," and "Crimson Peak."
  • C. Diego Velázquez de Cuéllar
    Diego Velázquez de Cuéllar was a Spanish conquistador and colonial governor of Cuba who played a pivotal role in organizing early expeditions that led to the conquest of the Aztec Empire.
  • D. Velásquez
    Velásquez is a Spanish-language surname common in Hispanic countries and among people of Spanish or Latin American heritage.
  • E. Jusepe de Ribera
    Jusepe de Ribera was a 17th-century Spanish Tenebrist painter and printmaker, renowned for his dramatic use of light and shadow and intense religious and mythological scenes.
  • 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: Leonardo Velázquez
Triple: [El Callejón de los Milagros, musicBy, Leonardo Velázquez]
Generated description
Leonardo Velázquez was a Mexican composer best known for his evocative film scores in Mexican cinema, including work on acclaimed dramas of the late 20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Leonardo Velázquez
Target entity description: Leonardo Velázquez was a Mexican composer best known for his evocative film scores in Mexican cinema, including work on acclaimed dramas of the late 20th century.
  • A. Diego Velázquez
    Diego Velázquez was a leading 17th-century Spanish painter renowned for his masterful realism and influential works such as "Las Meninas," which made him a central figure of the Spanish Golden Age.
  • B. Fernando Velázquez
    Fernando Velázquez is a Spanish film composer and conductor known for his evocative orchestral scores for movies such as "The Orphanage," "The Impossible," and "Crimson Peak."
  • C. Diego Velázquez de Cuéllar
    Diego Velázquez de Cuéllar was a Spanish conquistador and colonial governor of Cuba who played a pivotal role in organizing early expeditions that led to the conquest of the Aztec Empire.
  • D. Velásquez
    Velásquez is a Spanish-language surname common in Hispanic countries and among people of Spanish or Latin American heritage.
  • E. Jusepe de Ribera
    Jusepe de Ribera was a 17th-century Spanish Tenebrist painter and printmaker, renowned for his dramatic use of light and shadow and intense religious and mythological scenes.
  • 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.