Triple

T12345663
Position Surface form Disambiguated ID Type / Status
Subject Rudolf Fizir E294347 entity
Predicate name P16 FINISHED
Object Rudolf Fizir E294347 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: Rudolf Fizir | Statement: [Rudolf Fizir, name, Rudolf Fizir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rudolf Fizir
Context triple: [Rudolf Fizir, name, Rudolf Fizir]
  • A. Rudolf Fizir chosen
    Rudolf Fizir was a Croatian aircraft designer known for creating numerous light aircraft and trainers in the early 20th century.
  • B. Rudolf Viest
    Rudolf Viest was a Slovak general and resistance leader who played a key role in organizing and leading anti-Nazi forces during World War II.
  • C. Gustav Ciamaga
    Gustav Ciamaga was a Canadian composer, educator, and pioneer in electronic and computer music, notably associated with the University of Toronto.
  • D. Viktor Kaplan
    Viktor Kaplan was an Austrian engineer best known for inventing the Kaplan turbine, a highly efficient water turbine widely used in hydroelectric power plants.
  • E. Eduard Blutig
    Eduard Blutig is a pseudonym used by American writer and illustrator Edward Gorey, known for his macabre, Victorian-inspired illustrated stories.
  • 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f7a4a448190aa70d66dc2f406c1 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62aac9edc8190ab1740d23af1b250 completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:53 p.m.