Triple

T10690932
Position Surface form Disambiguated ID Type / Status
Subject Carlos Filipe Ximenes Belo E252005 entity
Predicate familyName P18 FINISHED
Object Belo
Belo is the surname of Carlos Filipe Ximenes Belo, the East Timorese Roman Catholic bishop and Nobel Peace Prize laureate.
E879297 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: Belo | Statement: [Carlos Filipe Ximenes Belo, familyName, Belo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belo
Context triple: [Carlos Filipe Ximenes Belo, familyName, Belo]
  • A. Belo
    Belo is a town and commune in Cameroon's Northwest Region, known as a rural highland community with agricultural activities and scenic landscapes.
  • B. Bello
    Bello is a Colombian city in the Aburrá Valley metropolitan area, just north of Medellín, known for its industrial activity and dense urban development.
  • C. Warley
    Warley is a locality within the Brentwood Borough of Essex, England, known primarily as a residential suburb with historical military and institutional connections.
  • D. Bosteros
    Bosteros is a popular nickname for supporters and players of the Argentine football club Boca Juniors, reflecting the club’s working-class roots and passionate fan culture.
  • E. Bela Vista
    Bela Vista is a settlement located on the island and municipality of São Vicente in Cape Verde.
  • 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: Belo
Triple: [Carlos Filipe Ximenes Belo, familyName, Belo]
Generated description
Belo is the surname of Carlos Filipe Ximenes Belo, the East Timorese Roman Catholic bishop and Nobel Peace Prize laureate.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Belo
Target entity description: Belo is the surname of Carlos Filipe Ximenes Belo, the East Timorese Roman Catholic bishop and Nobel Peace Prize laureate.
  • A. Belo
    Belo is a town and commune in Cameroon's Northwest Region, known as a rural highland community with agricultural activities and scenic landscapes.
  • B. Bello
    Bello is a Colombian city in the Aburrá Valley metropolitan area, just north of Medellín, known for its industrial activity and dense urban development.
  • C. Warley
    Warley is a locality within the Brentwood Borough of Essex, England, known primarily as a residential suburb with historical military and institutional connections.
  • D. Bosteros
    Bosteros is a popular nickname for supporters and players of the Argentine football club Boca Juniors, reflecting the club’s working-class roots and passionate fan culture.
  • E. Bela Vista
    Bela Vista is a settlement located on the island and municipality of São Vicente in Cape Verde.
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd3705788190bcbdef93b4c5f574 completed April 9, 2026, 1:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d988a59d6c8190a0e170acfb3af6da completed April 10, 2026, 11:32 p.m.
NEDg Description generation batch_69d98aeb82988190a17b009c74279423 completed April 10, 2026, 11:42 p.m.
NED2 Entity disambiguation (via description) batch_69d98c2aae048190b348e5614ff23f03 completed April 10, 2026, 11:47 p.m.
Created at: April 8, 2026, 9:11 p.m.