Triple

T6632477
Position Surface form Disambiguated ID Type / Status
Subject Ronaldo E149959 entity
Predicate nickName P2937 FINISHED
Object R9
R9 is the iconic nickname of Brazilian football legend Ronaldo Luís Nazário de Lima, renowned as one of the greatest strikers in the history of the sport.
 E598871 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: R9 | Statement: [Ronaldo, nickName, R9]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: R9
Context triple: [Ronaldo, nickName, R9]
  • A. R99
    R99 is a designation commonly used to refer to the 99th iteration or version of a software, standard, or product release.
  • B. R91
    R91 is the hull number of the French Navy's flagship aircraft carrier Charles de Gaulle, the country's first nuclear-powered surface vessel.
  • C. R8
    The Audi R8 is a high-performance mid-engine sports car known for its powerful engines, quattro all-wheel drive, and use of advanced lightweight construction.
  • D. R5
    R5 is a government office building in Oslo that forms part of Norway’s central Regjeringskvartalet complex.
  • E. R5
    R5 is the U.S. Forest Service’s Pacific Southwest Region, which oversees national forests primarily in California and parts of neighboring areas.
  • 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: R9
Triple: [Ronaldo, nickName, R9]
Generated description
R9 is the iconic nickname of Brazilian football legend Ronaldo Luís Nazário de Lima, renowned as one of the greatest strikers in the history of the sport.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: R9
Target entity description: R9 is the iconic nickname of Brazilian football legend Ronaldo Luís Nazário de Lima, renowned as one of the greatest strikers in the history of the sport.
  • A. R99
    R99 is a designation commonly used to refer to the 99th iteration or version of a software, standard, or product release.
  • B. R91
    R91 is the hull number of the French Navy's flagship aircraft carrier Charles de Gaulle, the country's first nuclear-powered surface vessel.
  • C. R8
    The Audi R8 is a high-performance mid-engine sports car known for its powerful engines, quattro all-wheel drive, and use of advanced lightweight construction.
  • D. R5
    R5 is a government office building in Oslo that forms part of Norway’s central Regjeringskvartalet complex.
  • E. R5
    R5 is the U.S. Forest Service’s Pacific Southwest Region, which oversees national forests primarily in California and parts of neighboring areas.
  • 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_69c687ee50048190aa151765bef16193 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6afc9138c81909d228ce4936d6b8b completed March 27, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cbf329f08190a3f29c4d4c6aa136 completed March 27, 2026, 6:26 p.m.
NEDg Description generation batch_69c6cd0bb0e48190ae51fde4b4631f65 completed March 27, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69c6cd90b9208190b4c5bf44db073314 completed March 27, 2026, 6:33 p.m.
Created at: March 27, 2026, 1:59 p.m.