Triple

T17674875
Position Surface form Disambiguated ID Type / Status
Subject José Valim E440620 entity
Predicate name P16 FINISHED
Object José Valim 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: José Valim | Statement: [José Valim, name, José Valim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: José Valim
Context triple: [José Valim, name, José Valim]
  • A. José Valim chosen
    José Valim is a Brazilian software engineer and creator of the Elixir programming language, known for his work on scalable, concurrent systems and contributions to the Ruby on Rails ecosystem.
  • B. Leonardo de Moura
    Leonardo de Moura is a Brazilian computer scientist best known for creating the Z3 theorem prover and contributing significantly to automated reasoning and formal verification.
  • C. André Lara Resende
    André Lara Resende is a Brazilian economist known as one of the principal architects of Brazil’s 1990s economic stabilization and currency reform.
  • D. Daniel Rezende
    Daniel Rezende is a Brazilian film editor best known for his acclaimed work on internationally recognized films such as "City of God" and other major cinematic projects.
  • E. Paulo Nunes
    Paulo Nunes is a retired Brazilian footballer best known as a prolific forward who starred for clubs like Grêmio and Palmeiras in 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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46f6ba22081909e2099490c047378 completed April 19, 2026, 6 a.m.
Created at: April 10, 2026, 10 a.m.