Triple

T14805609
Position Surface form Disambiguated ID Type / Status
Subject Walter Salles E348026 entity
Predicate familyName P18 FINISHED
Object Salles E348026 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: Salles | Statement: [Walter Salles, familyName, Salles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salles
Context triple: [Walter Salles, familyName, Salles]
  • A. Salles chosen
    Salles is a Portuguese and Spanish surname borne by various notable individuals, including Brazilian film director Walter Salles.
  • B. Mauroy
    Mauroy is a French surname most notably associated with Pierre Mauroy, a former Prime Minister of France and prominent Socialist politician.
  • C. Lassally
    Lassally is a German-origin surname most notably associated with Walter Lassally, an acclaimed cinematographer known for his work in British and Greek cinema.
  • D. Salles-Curan
    Salles-Curan is a commune in the Aveyron department of southern France, known for its proximity to the large artificial Lac de Pareloup and its tourism and outdoor recreation activities.
  • E. Bousquet
    Bousquet was an 18th-century publishing house known for issuing scientific and medical works, including Albrecht von Haller’s influential "Elementa Physiologiae Corporis Humani."
  • 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_69fe24c6b3008190a0fac1dace40361a completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:34 a.m.