Triple

T15832608
Position Surface form Disambiguated ID Type / Status
Subject Workers' Party E383907 entity
Predicate hasNotableMember P304 FINISHED
Object Dilma Rousseff E79655 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: Dilma Rousseff | Statement: [Workers' Party, hasNotableMember, Dilma Rousseff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dilma Rousseff
Context triple: [Workers' Party, hasNotableMember, Dilma Rousseff]
  • A. Dilma Rousseff chosen
    Dilma Rousseff is a Brazilian economist and politician who served as the 36th president of Brazil and the country’s first female head of state.
  • B. Dilma Jane da Silva
    Dilma Jane da Silva is the mother of former Brazilian president Dilma Rousseff and a member of her immediate family background.
  • C. Pedro Rousseff
    Pedro Rousseff is the son of former Brazilian president Dilma Rousseff.
  • D. Marisa Letícia Lula da Silva
    Marisa Letícia Lula da Silva was a Brazilian metalworker-turned-political figure and former First Lady of Brazil, known for her long partnership with President Luiz Inácio Lula da Silva and her role in the Workers’ Party’s early grassroots activism.
  • E. Lula
    Lula is a feminine given name, often used in English-speaking countries and sometimes as a diminutive of names like Louise or Tallulah.
  • 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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e11e653e388190a4696cdb22546715 completed April 16, 2026, 5:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff99a0e62081909d02f87972490eef completed May 9, 2026, 8:31 p.m.
Created at: April 10, 2026, 4:49 a.m.