Triple

T6162092
Position Surface form Disambiguated ID Type / Status
Subject Get Smart E137465 entity
Predicate producer P490 FINISHED
Object Charles Roven E11616 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: Charles Roven | Statement: [Get Smart, producer, Charles Roven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charles Roven
Context triple: [Get Smart, producer, Charles Roven]
  • A. Charles Roven chosen
    Charles Roven is an American film producer known for his work on major Hollywood blockbusters, including Christopher Nolan’s films such as Oppenheimer and The Dark Knight trilogy.
  • B. Michael Seitzman
    Michael Seitzman is an American screenwriter and producer known for his work on films such as "North Country" and for creating and producing several television series.
  • C. Joel Silver
    Joel Silver is a prominent American film producer known for high-octane action and genre-defining hits such as the "Lethal Weapon" and "The Matrix" franchises.
  • D. John Seitz
    John Seitz was an American cinematographer renowned for his influential work in classic Hollywood cinema, particularly in film noir and science fiction.
  • E. Karey Kirkpatrick
    Karey Kirkpatrick is an American screenwriter and director known for his work on animated and family films such as Chicken Run, Over the Hedge, and Smallfoot.
  • 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_69c008a54fc88190b6ce4416490ca79d completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d371484819090c18b62b095b49e completed March 22, 2026, 9:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20d6eefa88190ae55dab8b4ebe06d completed March 24, 2026, 4:05 a.m.
Created at: March 22, 2026, 4:17 p.m.