Triple

T4262427
Position Surface form Disambiguated ID Type / Status
Subject Paulo Freire E96132 entity
Predicate spouse P13 FINISHED
Object Elza Maia Costa de Oliveira
Elza Maia Costa de Oliveira was a Brazilian educator and the first wife and close intellectual collaborator of influential pedagogue Paulo Freire.
E425829 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: Elza Maia Costa de Oliveira | Statement: [Paulo Freire, spouse, Elza Maia Costa de Oliveira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elza Maia Costa de Oliveira
Context triple: [Paulo Freire, spouse, Elza Maia Costa de Oliveira]
  • A. Eliane Cavalleiro
    Eliane Cavalleiro is a Brazilian academic and activist known for her work on racial and gender equality in education.
  • B. Marília
    Marília is a mid-sized city in the interior of Brazil known for its food industry, higher education institutions, and role as a regional economic hub.
  • C. Vera Lúcia Cabreira
    Vera Lúcia Cabreira was the wife of renowned Brazilian architect Oscar Niemeyer.
  • D. Manuela Veloso
    Manuela Veloso is a prominent computer scientist and roboticist known for her pioneering work in artificial intelligence and multi-agent robotics.
  • E. Yolanda Soares
    Yolanda Soares is a Portuguese soprano and crossover singer known for blending classical music with fado and other contemporary styles.
  • 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: Elza Maia Costa de Oliveira
Triple: [Paulo Freire, spouse, Elza Maia Costa de Oliveira]
Generated description
Elza Maia Costa de Oliveira was a Brazilian educator and the first wife and close intellectual collaborator of influential pedagogue Paulo Freire.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Elza Maia Costa de Oliveira
Target entity description: Elza Maia Costa de Oliveira was a Brazilian educator and the first wife and close intellectual collaborator of influential pedagogue Paulo Freire.
  • A. Eliane Cavalleiro
    Eliane Cavalleiro is a Brazilian academic and activist known for her work on racial and gender equality in education.
  • B. Marília
    Marília is a mid-sized city in the interior of Brazil known for its food industry, higher education institutions, and role as a regional economic hub.
  • C. Vera Lúcia Cabreira
    Vera Lúcia Cabreira was the wife of renowned Brazilian architect Oscar Niemeyer.
  • D. Manuela Veloso
    Manuela Veloso is a prominent computer scientist and roboticist known for her pioneering work in artificial intelligence and multi-agent robotics.
  • E. Yolanda Soares
    Yolanda Soares is a Portuguese soprano and crossover singer known for blending classical music with fado and other contemporary styles.
  • 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_69b3454095ac81909c2494f7ff294af1 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34f82b2688190bf4c581e13a9c4b9 completed March 12, 2026, 11:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b78ffbf881909d59faae665abd36 completed March 14, 2026, 7:31 p.m.
NEDg Description generation batch_69b5b89fe2b08190960a3deaceb75c85 completed March 14, 2026, 7:36 p.m.
NED2 Entity disambiguation (via description) batch_69b5b8ddaa9c8190bc7dc46593cbb8cd completed March 14, 2026, 7:37 p.m.
Created at: March 12, 2026, 11:06 p.m.