Triple

T12819853
Position Surface form Disambiguated ID Type / Status
Subject Wibaut Prize E306499 entity
Predicate namedAfter P63 FINISHED
Object Floor Wibaut E764160 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: Floor Wibaut | Statement: [Wibaut Prize, namedAfter, Floor Wibaut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Floor Wibaut
Context triple: [Wibaut Prize, namedAfter, Floor Wibaut]
  • A. Floor Wibaut chosen
    Floor Wibaut was a prominent Dutch politician and social reformer, especially known for his influential role in shaping early 20th-century Amsterdam.
  • B. George Schaefer
    George Schaefer was an American film executive and producer best known for his leadership at RKO Radio Pictures during the early 1940s, where he supported innovative projects such as Orson Welles’s work.
  • C. Marcel Berbert
    Marcel Berbert was a French film producer known for his collaborations with prominent directors such as François Truffaut during the mid-20th century.
  • D. Jules Repond
    Jules Repond was a Swiss military officer best known for redesigning and modernizing the distinctive Renaissance-style uniforms of the Vatican's Swiss Guard in the early 20th century.
  • E. Roelandt Savery
    Roelandt Savery was a Dutch Golden Age painter and draughtsman renowned for his detailed landscapes, animal studies, and fantastical scenes, including early depictions of the dodo.
  • 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_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e9e5a2481908921d097df541db8 completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ed165188190a4cac781c753fb23 completed May 2, 2026, 11:54 p.m.
Created at: April 9, 2026, 5:31 p.m.