Triple

T2960848
Position Surface form Disambiguated ID Type / Status
Subject Patrick Vieira E80043 entity
Predicate familyName P18 FINISHED
Object Vieira
Vieira is a French former professional footballer and World Cup winner who became a prominent defensive midfielder and later a football manager.
 E313912 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: Vieira | Statement: [Patrick Vieira, familyName, Vieira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vieira
Context triple: [Patrick Vieira, familyName, Vieira]
  • A. Ramos da Costa
    Ramos da Costa is a Portuguese-language surname associated with individuals such as Francisco Ramos da Costa.
  • B. Cardoso
    Cardoso is a common Portuguese-language surname borne by numerous individuals, including prominent Brazilian political and cultural figures.
  • C. Vidigal
    Vidigal is a hillside favela neighborhood in Rio de Janeiro, Brazil, known for its striking ocean views, vibrant community, and growing cultural and tourism scene.
  • D. Vascão
    Vascão is a popular nickname for the Brazilian football club CR Vasco da Gama, reflecting the team’s large, passionate fanbase and historic status in Rio de Janeiro football.
  • E. Rocha
    Rocha is a Portuguese-origin surname common in Lusophone countries and among their diasporas.
  • 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: Vieira
Triple: [Patrick Vieira, familyName, Vieira]
Generated description
Vieira is a French former professional footballer and World Cup winner who became a prominent defensive midfielder and later a football manager.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vieira
Target entity description: Vieira is a French former professional footballer and World Cup winner who became a prominent defensive midfielder and later a football manager.
  • A. Ramos da Costa
    Ramos da Costa is a Portuguese-language surname associated with individuals such as Francisco Ramos da Costa.
  • B. Cardoso
    Cardoso is a common Portuguese-language surname borne by numerous individuals, including prominent Brazilian political and cultural figures.
  • C. Vidigal
    Vidigal is a hillside favela neighborhood in Rio de Janeiro, Brazil, known for its striking ocean views, vibrant community, and growing cultural and tourism scene.
  • D. Vascão
    Vascão is a popular nickname for the Brazilian football club CR Vasco da Gama, reflecting the team’s large, passionate fanbase and historic status in Rio de Janeiro football.
  • E. Rocha
    Rocha is a Portuguese-origin surname common in Lusophone countries and among their diasporas.
  • 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_69ad8b1341848190bd19dbf46892887d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad995454448190834aa5d47a4ed5ac completed March 8, 2026, 3:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0fc923d888190a68075dfaa9e90b2 completed March 11, 2026, 5:24 a.m.
NEDg Description generation batch_69b0fd7d1cc88190a4f533a92d7e6de3 completed March 11, 2026, 5:28 a.m.
NED2 Entity disambiguation (via description) batch_69b0fde74b608190b59da720c90adfeb completed March 11, 2026, 5:30 a.m.
Created at: March 8, 2026, 2:57 p.m.