Triple

T2044574
Position Surface form Disambiguated ID Type / Status
Subject Luciana Barroso E45420 entity
Predicate name P16 FINISHED
Object Luciana Barroso E45420 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: Luciana Barroso | Statement: [Luciana Barroso, name, Luciana Barroso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luciana Barroso
Context triple: [Luciana Barroso, name, Luciana Barroso]
  • A. Luciana Barroso chosen
    Luciana Barroso is an Argentine former bartender and flight attendant best known as the wife of American actor Matt Damon.
  • B. 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.
  • C. Fernanda Tadeu
    Fernanda Tadeu is a Portuguese educator and public figure best known as the wife of former Prime Minister António Costa.
  • D. Maria Azevêdo
    Maria Azevêdo is known as the wife of Brazilian diplomat Roberto Azevêdo, former Director-General of the World Trade Organization.
  • E. Marta Cartabia
    Marta Cartabia is an Italian jurist and academic who became the first female President of the Constitutional Court of Italy and later served as the country's Minister of Justice.
  • 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_69a8891948208190ab7898da21824c77 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb97153b08190b91d82f4117982be completed March 7, 2026, 5:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae1ffe98248190b6a4428c6c094d35 completed March 9, 2026, 1:18 a.m.
Created at: March 4, 2026, 7:39 p.m.