Triple

T14146439
Position Surface form Disambiguated ID Type / Status
Subject Central Station E350561 entity
Predicate cinematography P1953 FINISHED
Object Walter Carvalho E1087992 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: Walter Carvalho | Statement: [Central Station, cinematography, Walter Carvalho]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walter Carvalho
Context triple: [Central Station, cinematography, Walter Carvalho]
  • A. Walter Carvalho chosen
    Walter Carvalho is a renowned Brazilian cinematographer known for his visually striking work on acclaimed films such as "Behind the Sun."
  • B. Waldir Azevedo
    Waldir Azevedo was a Brazilian composer and virtuoso cavaquinho player best known for popularizing the choro genre with pieces like "Brasileirinho."
  • C. Jorge Machado Moreira
    Jorge Machado Moreira was a prominent Brazilian modernist architect and urban planner known for his influential role in mid-20th-century Brazilian architecture.
  • D. Carlos Alberto Moniz
    Carlos Alberto Moniz is a Portuguese musician, composer, and television personality known for his contributions to Portuguese popular music and entertainment.
  • E. Armando de Salles Oliveira
    Armando de Salles Oliveira was a Brazilian politician and journalist who served as the governor of São Paulo and played a key role in the development of higher education in the state.
  • 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de612266248190a8591b646fe30ae6 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bb3da748190a29652e17dbeac33 completed May 8, 2026, 3:42 a.m.
Created at: April 10, 2026, 12:54 a.m.