Triple

T2830438
Position Surface form Disambiguated ID Type / Status
Subject Rio E62222 entity
Predicate cinematography P1953 FINISHED
Object Renato Falcão E297060 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: Renato Falcão | Statement: [Rio, cinematography, Renato Falcão]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Renato Falcão
Context triple: [Rio, cinematography, Renato Falcão]
  • A. Renato Falcão chosen
    Renato Falcão is a Brazilian cinematographer known for his work on animated and live-action films, including major studio productions.
  • B. Edson Motta
    Edson Motta was a Brazilian artist and art educator recognized for his contributions to painting and for helping shape modern art instruction in Brazil.
  • C. 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.
  • D. José Alexandre
    José Alexandre is the birth name of Xanana Gusmão, the prominent East Timorese independence leader and statesman.
  • 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_69ab4c3c39188190955b9c49d98463d8 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdebd5a2c81908f0e30a0ae0eb8df completed March 7, 2026, 8:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69afceb771d48190a1467a6e58f756ad completed March 10, 2026, 7:56 a.m.
Created at: March 6, 2026, 10:01 p.m.