Triple

T21681697
Position Surface form Disambiguated ID Type / Status
Subject The Inspector General (1949 film) E535122 entity
Predicate artDirectionBy P7743 FINISHED
Object Nathan Juran 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: Nathan Juran | Statement: [The Inspector General (1949 film), artDirectionBy, Nathan Juran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nathan Juran
Context triple: [The Inspector General (1949 film), artDirectionBy, Nathan Juran]
  • A. Nathan Juran chosen
    Nathan Juran was an Academy Award–winning art director and later film director known for his work on classic Hollywood productions and science fiction and fantasy films.
  • B. Michael Jaffe
    Michael Jaffe is an American television and film producer known for his work on numerous TV movies, series, and feature films.
  • C. Philip Andelman
    Philip Andelman is an American music video and commercial director known for his work with major artists across pop and rock music.
  • D. Jeffrey Nachmanoff
    Jeffrey Nachmanoff is an American screenwriter and director known for his work on major Hollywood films and television, including the climate-disaster movie "The Day After Tomorrow."
  • E. Aaron Kandell
    Aaron Kandell is an American screenwriter best known for co-writing Disney's animated feature film "Moana."
  • 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_69e0c469b6ec8190aee4cadd1527db91 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef96c69990819088a1134ecea09099 completed April 27, 2026, 5:03 p.m.
Created at: April 16, 2026, 6:43 p.m.