Triple

T2826694
Position Surface form Disambiguated ID Type / Status
Subject Isabella Damon E54939 entity
Predicate mother 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: [Isabella Damon, mother, Luciana Barroso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luciana Barroso
Context triple: [Isabella Damon, mother, 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. 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. 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. Fernanda Tadeu
    Fernanda Tadeu is a Portuguese educator and public figure best known as the wife of former Prime Minister António Costa.
  • E. Vânia Nonnenmacher
    Vânia Nonnenmacher is a Brazilian woman best known as the mother of supermodel Gisele Bündchen.
  • 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_69ab49e100c0819082a40cb797383243 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde94ba848190b2c990936e07e6bb completed March 7, 2026, 8:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0312dd4848190b30f6fcc11c2c954 completed March 10, 2026, 2:56 p.m.
Created at: March 6, 2026, 9:59 p.m.