Triple

T15508295
Position Surface form Disambiguated ID Type / Status
Subject Georgia (1995 film) E379138 entity
Predicate cinematographyBy P1953 FINISHED
Object Jan Kiesser E505572 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: Jan Kiesser | Statement: [Georgia (1995 film), cinematographyBy, Jan Kiesser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jan Kiesser
Context triple: [Georgia (1995 film), cinematographyBy, 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. 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.
  • D. 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."
  • E. Erik Messerschmidt
    Erik Messerschmidt is an American cinematographer known for his acclaimed, Oscar-winning work on films such as "Mank" and his frequent collaborations with director David Fincher.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fcea8888190a7b69aca360183c3 completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf0a12e081908d7d2ae7c9774f94 completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 3:55 a.m.