Triple

T10709838
Position Surface form Disambiguated ID Type / Status
Subject Afonso I of Portugal E252501 entity
Predicate child P120 FINISHED
Object Theresa of Portugal, Countess of Flanders
Theresa of Portugal, Countess of Flanders, was a 12th-century Portuguese infanta who became Countess of Flanders through marriage, playing a notable diplomatic role between the Portuguese and Flemish courts.
E880534 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: Theresa of Portugal, Countess of Flanders | Statement: [Afonso I of Portugal, child, Theresa of Portugal, Countess of Flanders]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Theresa of Portugal, Countess of Flanders
Context triple: [Afonso I of Portugal, child, Theresa of Portugal, Countess of Flanders]
  • A. Philippa of Hainaut
    Philippa of Hainaut was a 14th-century Queen of England, wife of King Edward III, noted for her political influence, patronage, and reputed plea that spared the lives of the Burghers of Calais.
  • B. Isabella of Portugal, Duchess of Burgundy
    Isabella of Portugal, Duchess of Burgundy, was a 15th-century Portuguese infanta who became a powerful and influential duchess through her marriage to Philip the Good, playing a key role in the politics and culture of the Burgundian court.
  • C. Yolande of Flanders
    Yolande of Flanders was a 13th-century noblewoman from the influential Flemish dynasty who became a prominent European ruler through her inheritance and marital alliances.
  • D. Joan, Countess of Flanders
    Joan, Countess of Flanders, was a 13th-century noblewoman who ruled Flanders and Hainaut in her own right and played a key role in the politics of medieval Northwestern Europe.
  • E. Maria of Brabant
    Maria of Brabant was a 13th-century noblewoman, Duchess of Brabant by marriage to Henry II, known for her role in European dynastic politics and as the daughter of Saint Louis IX of France.
  • 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: Theresa of Portugal, Countess of Flanders
Triple: [Afonso I of Portugal, child, Theresa of Portugal, Countess of Flanders]
Generated description
Theresa of Portugal, Countess of Flanders, was a 12th-century Portuguese infanta who became Countess of Flanders through marriage, playing a notable diplomatic role between the Portuguese and Flemish courts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Theresa of Portugal, Countess of Flanders
Target entity description: Theresa of Portugal, Countess of Flanders, was a 12th-century Portuguese infanta who became Countess of Flanders through marriage, playing a notable diplomatic role between the Portuguese and Flemish courts.
  • A. Philippa of Hainaut
    Philippa of Hainaut was a 14th-century Queen of England, wife of King Edward III, noted for her political influence, patronage, and reputed plea that spared the lives of the Burghers of Calais.
  • B. Isabella of Portugal, Duchess of Burgundy
    Isabella of Portugal, Duchess of Burgundy, was a 15th-century Portuguese infanta who became a powerful and influential duchess through her marriage to Philip the Good, playing a key role in the politics and culture of the Burgundian court.
  • C. Yolande of Flanders
    Yolande of Flanders was a 13th-century noblewoman from the influential Flemish dynasty who became a prominent European ruler through her inheritance and marital alliances.
  • D. Joan, Countess of Flanders
    Joan, Countess of Flanders, was a 13th-century noblewoman who ruled Flanders and Hainaut in her own right and played a key role in the politics of medieval Northwestern Europe.
  • E. Maria of Brabant
    Maria of Brabant was a 13th-century noblewoman, Duchess of Brabant by marriage to Henry II, known for her role in European dynastic politics and as the daughter of Saint Louis IX of France.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fe515b1081909532a20b61ff6cf0 completed April 9, 2026, 1:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69d9990f220081909dae41bcec8b4768 completed April 11, 2026, 12:42 a.m.
NEDg Description generation batch_69d99e8632688190b3746649a124ca09 completed April 11, 2026, 1:06 a.m.
NED2 Entity disambiguation (via description) batch_69da625a1e8c8190b282e7a70bb7c876 completed April 11, 2026, 3:01 p.m.
Created at: April 8, 2026, 9:13 p.m.