Triple

T10470309
Position Surface form Disambiguated ID Type / Status
Subject Loving Pablo E246905 entity
Predicate cinematographyBy P1953 FINISHED
Object Alex Catalán
Alex Catalán is a Spanish cinematographer known for his visually striking work on acclaimed films such as "Loving Pablo" and "La isla mínima."
E866788 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: Alex Catalán | Statement: [Loving Pablo, cinematographyBy, Alex Catalán]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alex Catalán
Context triple: [Loving Pablo, cinematographyBy, Alex Catalán]
  • A. Xavier Loyá
    Xavier Loyá was a Mexican actor best known for his role in Luis Buñuel’s acclaimed surrealist film "The Exterminating Angel."
  • B. Ricardo Navarro
    Ricardo Navarro is a notable individual whose achievements or public presence have made the surname Navarro particularly recognized.
  • C. Lorenzo García-Barbón
    Lorenzo García-Barbón is a Spanish architect best known for his role in designing FC Barcelona’s iconic Camp Nou stadium.
  • D. Miguel Cabanellas
    Miguel Cabanellas was a Spanish Army general who played a leading role in the early stages of the Spanish Civil War as one of the senior officers supporting the Nationalist uprising.
  • E. Alonso Vega
    Alonso Vega was an individual notable enough to be interred at Mingorrubio Cemetery in Madrid, Spain.
  • 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: Alex Catalán
Triple: [Loving Pablo, cinematographyBy, Alex Catalán]
Generated description
Alex Catalán is a Spanish cinematographer known for his visually striking work on acclaimed films such as "Loving Pablo" and "La isla mínima."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Alex Catalán
Target entity description: Alex Catalán is a Spanish cinematographer known for his visually striking work on acclaimed films such as "Loving Pablo" and "La isla mínima."
  • A. Xavier Loyá
    Xavier Loyá was a Mexican actor best known for his role in Luis Buñuel’s acclaimed surrealist film "The Exterminating Angel."
  • B. Ricardo Navarro
    Ricardo Navarro is a notable individual whose achievements or public presence have made the surname Navarro particularly recognized.
  • C. Lorenzo García-Barbón
    Lorenzo García-Barbón is a Spanish architect best known for his role in designing FC Barcelona’s iconic Camp Nou stadium.
  • D. Miguel Cabanellas
    Miguel Cabanellas was a Spanish Army general who played a leading role in the early stages of the Spanish Civil War as one of the senior officers supporting the Nationalist uprising.
  • E. Alonso Vega
    Alonso Vega was an individual notable enough to be interred at Mingorrubio Cemetery in Madrid, Spain.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509305fec81908b1acd91ae1f875d completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dc68b49481909715c36a4c0e7c4f completed April 10, 2026, 11:18 a.m.
NEDg Description generation batch_69d8e8c683608190aa4333ed38e79f53 completed April 10, 2026, 12:10 p.m.
NED2 Entity disambiguation (via description) batch_69d901e1ecf88190acd24a0e20462cb9 completed April 10, 2026, 1:57 p.m.
Created at: April 6, 2026, 12:20 p.m.