Triple

T3239615
Position Surface form Disambiguated ID Type / Status
Subject The Nutty Professor (1996 film) E67935 entity
Predicate cinematographyBy P1953 FINISHED
Object Dean Semler E335263 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: Dean Semler | Statement: [The Nutty Professor (1996 film), cinematographyBy, Dean Semler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dean Semler
Context triple: [The Nutty Professor (1996 film), cinematographyBy, Dean Semler]
  • A. Dean Semler chosen
    Dean Semler is an Australian cinematographer renowned for his work on major Hollywood films, including the comedy sequel "Nutty Professor II: The Klumps."
  • B. Dean Riesner
    Dean Riesner was an American screenwriter best known for his work on films such as "Dirty Harry" and "Play Misty for Me."
  • C. Jack Keller
    Jack Keller was an American songwriter and producer associated with the Brill Building era, known for co-writing numerous pop hits in the 1960s.
  • D. Eric Fellner
    Eric Fellner is a British film producer and co-chairman of Working Title Films, known for overseeing numerous successful UK and international movies.
  • E. Tom Leppert
    Tom Leppert is an American businessman and politician who served as the mayor of Dallas, Texas, and later ran for the U.S. Senate.
  • 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_69ad858d27348190abb61c280b4c86a9 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaef4c0bc819095e4f84296fe7cb6 completed March 8, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2774f93448190b8493b457636ae48 completed March 12, 2026, 8:20 a.m.
Created at: March 8, 2026, 3:08 p.m.