Triple

T14435535
Position Surface form Disambiguated ID Type / Status
Subject Carlos Prats E357949 entity
Predicate familyName P18 FINISHED
Object Prats
Prats is a Spanish-language surname of Catalan origin borne by various notable individuals in politics, sports, and the arts.
E1098464 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: Prats | Statement: [Carlos Prats, familyName, Prats]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prats
Context triple: [Carlos Prats, familyName, Prats]
  • A. Almendros
    Almendros is a Spanish surname most notably associated with Néstor Almendros, the acclaimed cinematographer known for his work on films such as "Days of Heaven."
  • B. Subirats
    Subirats is a municipality in Catalonia, Spain, known for its vineyards, cava production, and rural landscapes.
  • C. Sarroch
    Sarroch is a small coastal municipality in southern Sardinia, Italy, known for its industrial facilities and proximity to the city of Cagliari.
  • D. Cubelles
    Cubelles is a coastal municipality in the province of Barcelona, Catalonia, known for its Mediterranean beaches and residential character.
  • E. Prieto
    Prieto is a Spanish surname borne by numerous notable figures in politics, arts, and sports.
  • 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: Prats
Triple: [Carlos Prats, familyName, Prats]
Generated description
Prats is a Spanish-language surname of Catalan origin borne by various notable individuals in politics, sports, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Prats
Target entity description: Prats is a Spanish-language surname of Catalan origin borne by various notable individuals in politics, sports, and the arts.
  • A. Almendros
    Almendros is a Spanish surname most notably associated with Néstor Almendros, the acclaimed cinematographer known for his work on films such as "Days of Heaven."
  • B. Subirats
    Subirats is a municipality in Catalonia, Spain, known for its vineyards, cava production, and rural landscapes.
  • C. Sarroch
    Sarroch is a small coastal municipality in southern Sardinia, Italy, known for its industrial facilities and proximity to the city of Cagliari.
  • D. Cubelles
    Cubelles is a coastal municipality in the province of Barcelona, Catalonia, known for its Mediterranean beaches and residential character.
  • E. Prieto
    Prieto is a Spanish surname borne by numerous notable figures in politics, arts, and sports.
  • 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de9148cf4481909082cc91b2f76218 completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bd5b1d08190a89e6f004a94b361 completed May 8, 2026, 3:43 a.m.
NEDg Description generation batch_69fd5ca8e36c8190873d0e2a82f62623 completed May 8, 2026, 3:46 a.m.
NED2 Entity disambiguation (via description) batch_69fd5d46d974819085a43c51b414ff9a completed May 8, 2026, 3:49 a.m.
Created at: April 10, 2026, 1:18 a.m.