Triple

T15254346
Position Surface form Disambiguated ID Type / Status
Subject Álvaro Saborío E364605 entity
Predicate familyName P18 FINISHED
Object Saborío
Saborío is a Spanish-language surname most notably associated with Costa Rican footballer Álvaro Saborío.
 E1146848 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: Saborío | Statement: [Álvaro Saborío, familyName, Saborío]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Saborío
Context triple: [Álvaro Saborío, familyName, Saborío]
  • A. Gachalá
    Gachalá is a small Colombian town in the Cundinamarca Department, known for its emerald mining and scenic Andean landscapes.
  • B. Narón
    Narón is a municipality in the province of A Coruña in Galicia, northwestern Spain, known for its close ties to the nearby city of Ferrol and its role in the region’s industrial and service economy.
  • C. Los Barriles
    Los Barriles is a small coastal town on the East Cape of Baja California Sur, Mexico, known for its sport fishing, kitesurfing, and laid-back beach atmosphere.
  • D. Salza
    The Salza is a river in Austria known for its clear waters and scenic gorges, popular for whitewater sports and flowing into the Enns River.
  • E. Calvero
    Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
  • 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: Saborío
Triple: [Álvaro Saborío, familyName, Saborío]
Generated description
Saborío is a Spanish-language surname most notably associated with Costa Rican footballer Álvaro Saborío.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Saborío
Target entity description: Saborío is a Spanish-language surname most notably associated with Costa Rican footballer Álvaro Saborío.
  • A. Gachalá
    Gachalá is a small Colombian town in the Cundinamarca Department, known for its emerald mining and scenic Andean landscapes.
  • B. Narón
    Narón is a municipality in the province of A Coruña in Galicia, northwestern Spain, known for its close ties to the nearby city of Ferrol and its role in the region’s industrial and service economy.
  • C. Los Barriles
    Los Barriles is a small coastal town on the East Cape of Baja California Sur, Mexico, known for its sport fishing, kitesurfing, and laid-back beach atmosphere.
  • D. Salza
    The Salza is a river in Austria known for its clear waters and scenic gorges, popular for whitewater sports and flowing into the Enns River.
  • E. Calvero
    Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
  • 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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007f8cb308190933c4478aa096e24 completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5f572348190bd7719805e257e03 completed May 9, 2026, 7:44 a.m.
NEDg Description generation batch_69fee6c109c48190952809c389e4b92b completed May 9, 2026, 7:48 a.m.
NED2 Entity disambiguation (via description) batch_69fee897a7248190b3d81ea1da1d49e1 completed May 9, 2026, 7:56 a.m.
Created at: April 10, 2026, 3:13 a.m.