Triple

T9910541
Position Surface form Disambiguated ID Type / Status
Subject Paulo Dybala E185129 entity
Predicate nickname P55 FINISHED
Object La Joya
La Joya is the nickname of Argentine footballer Paulo Dybala, highlighting his status as a highly skilled and valuable attacking player.
E829598 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: La Joya | Statement: [Paulo Dybala, nickname, La Joya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Joya
Context triple: [Paulo Dybala, nickname, La Joya]
  • A. Brazo Blest
    Brazo Blest is a scenic western arm of Nahuel Huapi Lake in Argentine Patagonia, known for its lush forests, waterfalls, and access to the Andes near the Chilean border.
  • B. La Doce
    La Doce is the famously passionate and influential barra brava (hardcore supporters’ group) of the Argentine football club Boca Juniors.
  • C. La Perla del Bajío
    La Perla del Bajío is a popular nickname for the city of León, Guanajuato, highlighting its status as a prominent and prosperous urban center in Mexico’s Bajío region.
  • D. La Piña de Plata
    La Piña de Plata was the historic original name of Havana’s famed Floridita bar, a landmark Cuban cocktail and seafood establishment.
  • E. La Perla
    La Perla is a small municipality in the Mexican state of Veracruz that forms part of the Orizaba metropolitan area.
  • 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: La Joya
Triple: [Paulo Dybala, nickname, La Joya]
Generated description
La Joya is the nickname of Argentine footballer Paulo Dybala, highlighting his status as a highly skilled and valuable attacking player.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: La Joya
Target entity description: La Joya is the nickname of Argentine footballer Paulo Dybala, highlighting his status as a highly skilled and valuable attacking player.
  • A. Brazo Blest
    Brazo Blest is a scenic western arm of Nahuel Huapi Lake in Argentine Patagonia, known for its lush forests, waterfalls, and access to the Andes near the Chilean border.
  • B. La Doce
    La Doce is the famously passionate and influential barra brava (hardcore supporters’ group) of the Argentine football club Boca Juniors.
  • C. La Perla del Bajío
    La Perla del Bajío is a popular nickname for the city of León, Guanajuato, highlighting its status as a prominent and prosperous urban center in Mexico’s Bajío region.
  • D. La Piña de Plata
    La Piña de Plata was the historic original name of Havana’s famed Floridita bar, a landmark Cuban cocktail and seafood establishment.
  • E. La Perla
    La Perla is a small municipality in the Mexican state of Veracruz that forms part of the Orizaba metropolitan area.
  • 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_69ca8296165881908ca4750701af1f29 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb512a26881908eb72a21ffb1efef completed April 2, 2026, 12:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20dbfa89881909ea6bbcfcf6fc08f completed April 5, 2026, 7:22 a.m.
NEDg Description generation batch_69d20ed1f69c819099faa881a9a4368d completed April 5, 2026, 7:27 a.m.
NED2 Entity disambiguation (via description) batch_69d212e3b864819092b8464f5a5ab696 completed April 5, 2026, 7:44 a.m.
Created at: March 30, 2026, 8:41 p.m.