Triple

T484939
Position Surface form Disambiguated ID Type / Status
Subject Roberto Azevêdo E9853 entity
Predicate spouse P13 FINISHED
Object Maria Azevêdo
Maria Azevêdo is known as the wife of Brazilian diplomat Roberto Azevêdo, former Director-General of the World Trade Organization.
E61941 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: Maria Azevêdo | Statement: [Roberto Azevêdo, spouse, Maria Azevêdo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maria Azevêdo
Context triple: [Roberto Azevêdo, spouse, Maria Azevêdo]
  • A. Luciana Barroso
    Luciana Barroso is an Argentine former bartender and flight attendant best known as the wife of American actor Matt Damon.
  • B. Kamilla Cardoso
    Kamilla Cardoso is a Brazilian-born center and standout collegiate basketball player known for her dominant interior presence and key role in South Carolina’s national championship–contending teams.
  • C. Manuela Veloso
    Manuela Veloso is a prominent computer scientist and roboticist known for her pioneering work in artificial intelligence and multi-agent robotics.
  • D. Vera Lúcia Cabreira
    Vera Lúcia Cabreira was the wife of renowned Brazilian architect Oscar Niemeyer.
  • E. Catarina de Almeida Vaz Pinto
    Catarina de Almeida Vaz Pinto is a Portuguese cultural manager and politician known for her work in arts and cultural policy, including serving as Lisbon’s councillor for culture.
  • 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: Maria Azevêdo
Triple: [Roberto Azevêdo, spouse, Maria Azevêdo]
Generated description
Maria Azevêdo is known as the wife of Brazilian diplomat Roberto Azevêdo, former Director-General of the World Trade Organization.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Maria Azevêdo
Target entity description: Maria Azevêdo is known as the wife of Brazilian diplomat Roberto Azevêdo, former Director-General of the World Trade Organization.
  • A. Luciana Barroso
    Luciana Barroso is an Argentine former bartender and flight attendant best known as the wife of American actor Matt Damon.
  • B. Kamilla Cardoso
    Kamilla Cardoso is a Brazilian-born center and standout collegiate basketball player known for her dominant interior presence and key role in South Carolina’s national championship–contending teams.
  • C. Manuela Veloso
    Manuela Veloso is a prominent computer scientist and roboticist known for her pioneering work in artificial intelligence and multi-agent robotics.
  • D. Vera Lúcia Cabreira
    Vera Lúcia Cabreira was the wife of renowned Brazilian architect Oscar Niemeyer.
  • E. Catarina de Almeida Vaz Pinto
    Catarina de Almeida Vaz Pinto is a Portuguese cultural manager and politician known for her work in arts and cultural policy, including serving as Lisbon’s councillor for culture.
  • 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_69a2e802e2908190ab17c9479e0b6412 completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2f0bb46788190b40182bf2a54f98f completed Feb. 28, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69a481eb0fb481909b97f4bef0817791 completed March 1, 2026, 6:14 p.m.
NEDg Description generation batch_69a482e34fac8190b9e13ad17bb6c0c4 completed March 1, 2026, 6:18 p.m.
NED2 Entity disambiguation (via description) batch_69a4830eb1188190b4da7436a9ca4dab completed March 1, 2026, 6:18 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.