Triple

T1806021
Position Surface form Disambiguated ID Type / Status
Subject Gia Zavala Damon E40220 entity
Predicate parent P120 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: [Gia Zavala Damon, parent, Luciana Barroso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luciana Barroso
Context triple: [Gia Zavala Damon, parent, 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_69a88643a3388190a612f2ebe1fb29e7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa659798b88190bd3070349ce6bebb completed March 6, 2026, 5:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3c192f08190a1a134e541be1103 completed March 8, 2026, 10:10 p.m.
Created at: March 4, 2026, 7:32 p.m.