Triple

T14805732
Position Surface form Disambiguated ID Type / Status
Subject Dark Water E348029 entity
Predicate director P255 FINISHED
Object Walter Salles E70048 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 Salles | Statement: [Dark Water, director, Walter Salles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walter Salles
Context triple: [Dark Water, director, Walter Salles]
  • A. Walter Salles chosen
    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.
  • B. 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.
  • 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. Luís Puenzo
    Luís Puenzo is an acclaimed Argentine film director and screenwriter best known internationally for his Oscar-winning drama "The Official Story."
  • E. Pedro Costa
    Pedro Costa is a Portuguese film director renowned for his minimalist, atmospheric portrayals of marginalized communities in Lisbon.
  • 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_69d822ea8b7c819097dfadf3d45545e6 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decf32666081908e84f985c47eb963 completed April 14, 2026, 11:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dbced588190ab7712c7ad50ee67 completed May 9, 2026, 2:36 a.m.
Created at: April 10, 2026, 1:34 a.m.