Triple

T15569604
Position Surface form Disambiguated ID Type / Status
Subject Carlos Paredes E374203 entity
Predicate familyName P18 FINISHED
Object Paredes
Paredes is a Spanish and Portuguese surname borne by numerous notable figures across fields such as music, sports, and politics.
 E1164956 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: Paredes | Statement: [Carlos Paredes, familyName, Paredes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Paredes
Context triple: [Carlos Paredes, familyName, Paredes]
  • A. Paredes
    Paredes is a municipality in northern Portugal known for its historical heritage and proximity to the Porto metropolitan area.
  • B. Carballal
    Carballal is a Spanish surname, likely of Galician origin, that serves as a variant of the more common surname Carvajal.
  • C. Brazuelo
    Brazuelo is a small municipality and village located in the historical region of La Maragatería in the province of León, Spain.
  • D. Vélez
    Vélez is a Spanish-language surname common in Latin America and Spain, borne by various notable figures in arts, sports, and public life.
  • E. Vélez
    Vélez is a municipality in Colombia’s Santander Department known for its colonial heritage and traditional sweets.
  • 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: Paredes
Triple: [Carlos Paredes, familyName, Paredes]
Generated description
Paredes is a Spanish and Portuguese surname borne by numerous notable figures across fields such as music, sports, and politics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Paredes
Target entity description: Paredes is a Spanish and Portuguese surname borne by numerous notable figures across fields such as music, sports, and politics.
  • A. Paredes
    Paredes is a municipality in northern Portugal known for its historical heritage and proximity to the Porto metropolitan area.
  • B. Carballal
    Carballal is a Spanish surname, likely of Galician origin, that serves as a variant of the more common surname Carvajal.
  • C. Brazuelo
    Brazuelo is a small municipality and village located in the historical region of La Maragatería in the province of León, Spain.
  • D. Vélez
    Vélez is a Spanish-language surname common in Latin America and Spain, borne by various notable figures in arts, sports, and public life.
  • E. Vélez
    Vélez is a municipality in Colombia’s Santander Department known for its colonial heritage and traditional sweets.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e1de0488190b3639fc25f79d343 completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c4440a481909699a7eee25a4b24 completed May 9, 2026, 3:01 p.m.
NEDg Description generation batch_69ff4f27c7b08190bbe2d64eef0610f8 completed May 9, 2026, 3:13 p.m.
NED2 Entity disambiguation (via description) batch_69ff4fc4223c8190a3dd7a6853258791 completed May 9, 2026, 3:16 p.m.
Created at: April 10, 2026, 4:10 a.m.