Triple

T3533701
Position Surface form Disambiguated ID Type / Status
Subject John I of Portugal E74719 entity
Predicate mother P120 FINISHED
Object Teresa Lourenço
Teresa Lourenço was a Portuguese noblewoman best known as the mother of King John I of Portugal, founder of the Avis dynasty.
 E364520 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: Teresa Lourenço | Statement: [John I of Portugal, mother, Teresa Lourenço]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Teresa Lourenço
Context triple: [John I of Portugal, mother, Teresa Lourenço]
  • A. Madalena Gusmão
    Madalena Gusmão is an individual known primarily as the child of José Alexandre.
  • B. Lucia Moniz
    Lucia Moniz is a Portuguese actress and singer best known internationally for her role in the film "Love Actually."
  • C. Maria Barroso
    Maria Barroso was a prominent Portuguese actress, politician, and humanitarian who served as First Lady of Portugal and played a significant role in the country’s cultural and democratic life.
  • D. Mariana Teixeira de Carvalho
    Mariana Teixeira de Carvalho is a Brazilian lawyer best known as the wife of U2 bassist Adam Clayton.
  • E. Filipa Moniz Perestrelo
    Filipa Moniz Perestrelo was a Portuguese noblewoman from a prominent maritime family who became the wife of explorer Christopher Columbus.
  • 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: Teresa Lourenço
Triple: [John I of Portugal, mother, Teresa Lourenço]
Generated description
Teresa Lourenço was a Portuguese noblewoman best known as the mother of King John I of Portugal, founder of the Avis dynasty.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Teresa Lourenço
Target entity description: Teresa Lourenço was a Portuguese noblewoman best known as the mother of King John I of Portugal, founder of the Avis dynasty.
  • A. Madalena Gusmão
    Madalena Gusmão is an individual known primarily as the child of José Alexandre.
  • B. Lucia Moniz
    Lucia Moniz is a Portuguese actress and singer best known internationally for her role in the film "Love Actually."
  • C. Maria Barroso
    Maria Barroso was a prominent Portuguese actress, politician, and humanitarian who served as First Lady of Portugal and played a significant role in the country’s cultural and democratic life.
  • D. Mariana Teixeira de Carvalho
    Mariana Teixeira de Carvalho is a Brazilian lawyer best known as the wife of U2 bassist Adam Clayton.
  • E. Filipa Moniz Perestrelo
    Filipa Moniz Perestrelo was a Portuguese noblewoman from a prominent maritime family who became the wife of explorer Christopher Columbus.
  • 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_69ad85d1a3948190931fd1ea1f49717b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc9b945481909867d44b810e8b1f completed March 8, 2026, 6:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e9c408481909a808d400f545ff8 completed March 13, 2026, 3:03 a.m.
NEDg Description generation batch_69b37f232b8881908f7b4df89399d1d8 completed March 13, 2026, 3:06 a.m.
NED2 Entity disambiguation (via description) batch_69b37f8fea9481909eb82a06e6c71e98 completed March 13, 2026, 3:08 a.m.
Created at: March 8, 2026, 3:19 p.m.