Triple

T21389701
Position Surface form Disambiguated ID Type / Status
Subject Andrew Rona E527607 entity
Predicate notableCollaboration P8554 FINISHED
Object Joel Silver 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: Joel Silver | Statement: [Andrew Rona, notableCollaboration, Joel Silver]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joel Silver
Context triple: [Andrew Rona, notableCollaboration, Joel Silver]
  • A. Joel Silver chosen
    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.
  • B. Charles Roven
    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.
  • C. Robert Shaye
    Robert Shaye is an American film executive and producer best known as the founder of New Line Cinema, which he built into a major independent movie studio.
  • D. Ilya Salkind
    Ilya Salkind is a film producer best known for co-producing the 1970s Superman films and other major international productions.
  • E. Charles Bigelow
    Charles Bigelow is an American type designer and typographic scholar best known for co-creating widely used digital fonts such as the Lucida and Wingdings families.
  • 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_69e0b51ff3748190935c0a513c62a12b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b0f8ae288190b43df9fe2841a822 completed April 22, 2026, 11:28 a.m.
Created at: April 16, 2026, 5:13 p.m.