Triple

T20183369
Position Surface form Disambiguated ID Type / Status
Subject Some Kind of Wonderful E492789 entity
Predicate cinematography P1953 FINISHED
Object Jan Kiesser 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: Jan Kiesser | Statement: [Some Kind of Wonderful, cinematography, Jan Kiesser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jan Kiesser
Context triple: [Some Kind of Wonderful, cinematography, Jan Kiesser]
  • A. Jan Kiesser chosen
    Jan Kiesser is a Canadian cinematographer known for his work on genre films and television, including the 1985 horror film "Fright Night."
  • B. Keith Jochim
    Keith Jochim is an American actor known for his work in film, television, and theater, including a role in the movie "The Witches of Eastwick."
  • C. Jan Sadeler
    Jan Sadeler was a prominent late 16th-century Flemish engraver and printmaker known for his detailed religious and allegorical prints and as a leading member of the influential Sadeler family of artists.
  • D. Martin Kosleck
    Martin Kosleck was a German-American character actor best known for playing suave villains and Nazi antagonists in Hollywood films of the 1930s and 1940s.
  • E. Paul Hepker
    Paul Hepker is a South African composer best known for his film scores, particularly his acclaimed work on the Oscar-winning film "Tsotsi."
  • 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e668f068748190a0941e98ef5afd59 completed April 20, 2026, 5:57 p.m.
Created at: April 11, 2026, 11:36 p.m.