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.