Triple

T9117225
Position Surface form Disambiguated ID Type / Status
Subject Pretty Woman E218750 entity
Predicate producer P490 FINISHED
Object Arnon Milchan E140363 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: Arnon Milchan | Statement: [Pretty Woman, producer, Arnon Milchan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arnon Milchan
Context triple: [Pretty Woman, producer, Arnon Milchan]
  • A. Arnon Milchan chosen
    Arnon Milchan is an Israeli film producer and businessman known for backing numerous major Hollywood films, including acclaimed hits like "L.A. Confidential."
  • B. Irwin Winkler
    Irwin Winkler is an American film producer and director best known for producing the "Rocky" series and numerous other acclaimed Hollywood films.
  • C. Ilya Salkind
    Ilya Salkind is a film producer best known for co-producing the 1970s Superman films and other major international productions.
  • D. Peter Chernin
    Peter Chernin is an American media executive and film and television producer, known for leading Fox’s entertainment operations and founding The Chernin Group.
  • E. David Katzenberg
    David Katzenberg is an American television and film producer and director known for co-creating the MTV series "The Hard Times of RJ Berger" and producing various comedy and horror projects.
  • 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_69ca83dc94ac8190b9ef42684d36ff39 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8a5e2ac8190b602ef0c77deb2fa completed April 1, 2026, 5:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0307299ec8190acade4f388642e23 completed April 3, 2026, 9:26 p.m.
Created at: March 30, 2026, 7:17 p.m.