Triple

T2581436
Position Surface form Disambiguated ID Type / Status
Subject House of Orléans-Braganza E57099 entity
Predicate foundedBy P104 FINISHED
Object Isabel, Princess Imperial of Brazil
Isabel, Princess Imperial of Brazil was the 19th-century Brazilian crown princess and regent known for signing the Golden Law that abolished slavery in Brazil and for founding the House of Orléans-Braganza through her marriage.
E280186 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: Isabel, Princess Imperial of Brazil | Statement: [House of Orléans-Braganza, foundedBy, Isabel, Princess Imperial of Brazil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Isabel, Princess Imperial of Brazil
Context triple: [House of Orléans-Braganza, foundedBy, Isabel, Princess Imperial of Brazil]
  • A. Maria Manuela, Princess of Portugal
    Maria Manuela, Princess of Portugal, was a 16th-century Portuguese infanta and the first wife of King Philip II of Spain, whose marriage helped strengthen dynastic ties between the Iberian kingdoms.
  • B. Maria Leopoldina of Austria
    Maria Leopoldina of Austria was an Austrian archduchess and Empress of Brazil who played a key political and diplomatic role in Brazil’s independence as the first wife of Emperor Dom Pedro I.
  • C. Paula Mariana of Brazil
    Paula Mariana of Brazil was a Brazilian imperial princess, daughter of Emperor Dom Pedro I and a member of the early 19th-century Brazilian royal family.
  • D. Leopoldina
    Leopoldina is the German National Academy of Sciences, one of the world’s oldest continuously existing academies dedicated to advancing scientific research and advising society and policymakers.
  • E. Regent Maria Christina of the Two Sicilies
    Regent Maria Christina of the Two Sicilies was a 19th-century Spanish queen consort and regent who governed on behalf of her daughter Isabella II during a crucial period of liberal reforms in Spain.
  • 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: Isabel, Princess Imperial of Brazil
Triple: [House of Orléans-Braganza, foundedBy, Isabel, Princess Imperial of Brazil]
Generated description
Isabel, Princess Imperial of Brazil was the 19th-century Brazilian crown princess and regent known for signing the Golden Law that abolished slavery in Brazil and for founding the House of Orléans-Braganza through her marriage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Isabel, Princess Imperial of Brazil
Target entity description: Isabel, Princess Imperial of Brazil was the 19th-century Brazilian crown princess and regent known for signing the Golden Law that abolished slavery in Brazil and for founding the House of Orléans-Braganza through her marriage.
  • A. Maria Manuela, Princess of Portugal
    Maria Manuela, Princess of Portugal, was a 16th-century Portuguese infanta and the first wife of King Philip II of Spain, whose marriage helped strengthen dynastic ties between the Iberian kingdoms.
  • B. Maria Leopoldina of Austria
    Maria Leopoldina of Austria was an Austrian archduchess and Empress of Brazil who played a key political and diplomatic role in Brazil’s independence as the first wife of Emperor Dom Pedro I.
  • C. Paula Mariana of Brazil
    Paula Mariana of Brazil was a Brazilian imperial princess, daughter of Emperor Dom Pedro I and a member of the early 19th-century Brazilian royal family.
  • D. Leopoldina
    Leopoldina is the German National Academy of Sciences, one of the world’s oldest continuously existing academies dedicated to advancing scientific research and advising society and policymakers.
  • E. Regent Maria Christina of the Two Sicilies
    Regent Maria Christina of the Two Sicilies was a 19th-century Spanish queen consort and regent who governed on behalf of her daughter Isabella II during a crucial period of liberal reforms in Spain.
  • 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_69ab4a4dca6481908c301f8e317396e7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd3c843bc8190837cea3441bf3ca1 completed March 7, 2026, 7:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69af657cc2b08190a9055d6da7744851 completed March 10, 2026, 12:27 a.m.
NEDg Description generation batch_69af69a66078819084f341b052860751 completed March 10, 2026, 12:45 a.m.
NED2 Entity disambiguation (via description) batch_69af6a071f1c8190b2a707a0c98ddc94 completed March 10, 2026, 12:47 a.m.
Created at: March 6, 2026, 9:49 p.m.