Triple

T18851323
Position Surface form Disambiguated ID Type / Status
Subject PT E461046 entity
Predicate notableMember P10 FINISHED
Object Fernando Haddad NE NERFINISHED

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: Fernando Haddad | Statement: [PT, notableMember, Fernando Haddad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fernando Haddad
Context triple: [PT, notableMember, Fernando Haddad]
  • A. Fernando Haddad chosen
    Fernando Haddad is a Brazilian academic and politician who served as mayor of São Paulo and as Brazil’s minister of education, and was the Workers’ Party candidate in the 2018 presidential election.
  • B. Camilo Haddad
    Camilo Haddad is a São Paulo Metro station on Line 15–Silver serving the city’s eastern zone.
  • C. Ricardo Salles
    Ricardo Salles is a Brazilian lawyer and politician best known for serving as Brazil’s Minister of the Environment under President Jair Bolsonaro, during which he became a controversial figure over environmental and Amazon deforestation policies.
  • D. Beto Soares
    Beto Soares is a notable individual bearing the surname Soares, recognized for achievements that distinguish him among others with the same family name.
  • E. Pedro Malan
    Pedro Malan is a Brazilian economist and former finance minister known for his central role in stabilizing Brazil’s economy during the 1990s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcfa11e4819090ab1ef5bdcd2b2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c05995e88190b189864fcbda68e5 completed April 20, 2026, 5:57 a.m.
Created at: April 10, 2026, 11:56 a.m.