Triple

T8940573
Position Surface form Disambiguated ID Type / Status
Subject Mário Filho E212889 entity
Predicate name P16 FINISHED
Object Mário Rodrigues Filho E212889 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: Mário Rodrigues Filho | Statement: [Mário Filho, name, Mário Rodrigues Filho]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mário Rodrigues Filho
Context triple: [Mário Filho, name, Mário Rodrigues Filho]
  • A. Mário Cravo Júnior
    Mário Cravo Júnior was a prominent Brazilian sculptor and visual artist known for his modernist works that often incorporated Afro-Brazilian cultural themes.
  • B. Mário Filho chosen
    Mário Filho was a prominent Brazilian sports journalist whose influence on football culture was so great that Rio de Janeiro’s iconic Maracanã Stadium was named in his honor.
  • C. Domingos Oliveira
    Domingos Oliveira was a Portuguese military officer and politician who served as Prime Minister of Portugal during the early years of the Estado Novo regime.
  • D. Júlio Resende
    Júlio Resende was a prominent Portuguese painter and visual artist known for his modernist style and significant contributions to public art in Portugal.
  • E. José Resende
    José Resende is a Brazilian sculptor known for his innovative use of industrial materials and significant contributions to contemporary art in Brazil.
  • 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_69ca839694c88190b324ffeb43d23b08 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc66b8b37c8190bce6e049de8cf732 completed April 1, 2026, 12:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1efdea881908b2c264d1c39c6ec completed April 3, 2026, 1:34 p.m.
Created at: March 30, 2026, 6:58 p.m.