Triple

T4960117
Position Surface form Disambiguated ID Type / Status
Subject João Soares E111383 entity
Predicate mother P120 FINISHED
Object Maria Barroso E124369 NE FINISHED

How this triple was built (2 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 Barroso | Statement: [João Soares, mother, Maria Barroso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maria Barroso
Context triple: [João Soares, mother, Maria Barroso]
  • A. Maria Barroso chosen
    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.
  • B. Beatriz Pimentel
    Beatriz Pimentel was a Spanish noblewoman best known as the mother of Fernando Álvarez de Toledo, the powerful 3rd Duke of Alba and prominent military commander of the 16th century.
  • C. Luciana Barroso
    Luciana Barroso is an Argentine former bartender and flight attendant best known as the wife of American actor Matt Damon.
  • D. Teresa Lourenço
    Teresa Lourenço was a Portuguese noblewoman best known as the mother of King John I of Portugal, founder of the Avis dynasty.
  • E. Madalena Gusmão
    Madalena Gusmão is an individual known primarily as the child of José Alexandre.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd4419393c819086319a6fe4bf8542 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd71da80008190a0d606d5091822b8 completed March 20, 2026, 4:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be89f639c081908658c1a228081dd9 completed March 21, 2026, 12:07 p.m.
Created at: March 20, 2026, 1:32 p.m.