Triple

T21811386
Position Surface form Disambiguated ID Type / Status
Subject La caza E538482 entity
Predicate cinematographyBy P1953 FINISHED
Object Luis Cuadrado
Luis Cuadrado was a notable Spanish cinematographer recognized for his influential work in mid-20th-century Spanish cinema.
E1502885 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: Luis Cuadrado | Statement: [La caza, cinematographyBy, Luis Cuadrado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luis Cuadrado
Context triple: [La caza, cinematographyBy, Luis Cuadrado]
  • A. Alex Correa
    Alex Correa is a Brazilian professional footballer known for playing as a forward in various South American clubs.
  • B. Jackson Martínez
    Jackson Martínez is a Colombian former professional footballer best known as a prolific striker for clubs such as FC Porto and the Colombia national team.
  • C. Andy Herrera
    Andy Herrera is a passionate and determined firefighter and lieutenant featured as a central protagonist in the television drama series "Station 19."
  • D. Lucas Hernandez
    Lucas Hernandez is a French professional footballer, primarily a left-back or central defender, who has represented France at major tournaments and played for top European clubs.
  • E. Javier Correa
    Javier Correa is a professional athlete known for his achievements in competitive canoe sprinting for Argentina.
  • 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: Luis Cuadrado
Triple: [La caza, cinematographyBy, Luis Cuadrado]
Generated description
Luis Cuadrado was a notable Spanish cinematographer recognized for his influential work in mid-20th-century Spanish cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Luis Cuadrado
Target entity description: Luis Cuadrado was a notable Spanish cinematographer recognized for his influential work in mid-20th-century Spanish cinema.
  • A. Alex Correa
    Alex Correa is a Brazilian professional footballer known for playing as a forward in various South American clubs.
  • B. Jackson Martínez
    Jackson Martínez is a Colombian former professional footballer best known as a prolific striker for clubs such as FC Porto and the Colombia national team.
  • C. Andy Herrera
    Andy Herrera is a passionate and determined firefighter and lieutenant featured as a central protagonist in the television drama series "Station 19."
  • D. Lucas Hernandez
    Lucas Hernandez is a French professional footballer, primarily a left-back or central defender, who has represented France at major tournaments and played for top European clubs.
  • E. Javier Correa
    Javier Correa is a professional athlete known for his achievements in competitive canoe sprinting for Argentina.
  • 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_69e0c473f0f8819086c9d1b4a143bd67 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f07cc6cdf88190a31129acdc3bcec8 completed April 28, 2026, 9:24 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a3e88cf888190b185e72216cdf44f completed May 17, 2026, 10:17 p.m.
NEDg Description generation batch_6a0a3f31d4788190a5b7d3678c2dd432 completed May 17, 2026, 10:20 p.m.
NED2 Entity disambiguation (via description) batch_6a0a402328f88190aedece0522614d71 completed May 17, 2026, 10:24 p.m.
Created at: April 16, 2026, 6:53 p.m.