Triple

T19337479
Position Surface form Disambiguated ID Type / Status
Subject Pedro Costa E483659 entity
Predicate name P16 FINISHED
Object Pedro Costa 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: Pedro Costa | Statement: [Pedro Costa, name, Pedro Costa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pedro Costa
Context triple: [Pedro Costa, name, Pedro Costa]
  • A. Pedro Costa chosen
    Pedro Costa is a Portuguese film director renowned for his minimalist, atmospheric portrayals of marginalized communities in Lisbon.
  • B. Carlo Regadas
    Carlo Regadas is a British guitarist best known for his work with the influential death metal band Carcass during the 1990s.
  • C. Fernando Meirelles
    Fernando Meirelles is a Brazilian film director best known internationally for his critically acclaimed work on films such as "City of God" and "The Constant Gardener."
  • D. Walter Salles
    Walter Salles is a Brazilian film director best known internationally for works such as "Central Station," "The Motorcycle Diaries," and other character-driven road movies.
  • E. Walter Moreira Salles
    Walter Moreira Salles was a prominent Brazilian banker, diplomat, and philanthropist who played a key role in the development of Brazil’s financial sector and cultural institutions in the 20th century.
  • 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_69d8e8d244f8819080eb1f3491300db2 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e61646e89081908c9f1d2cf557672c completed April 20, 2026, 12:04 p.m.
Created at: April 10, 2026, 1:33 p.m.