Triple

T11255324
Position Surface form Disambiguated ID Type / Status
Subject Nickelodeon E266420 entity
Predicate producer P490 FINISHED
Object Irwin Winkler E62273 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: Irwin Winkler | Statement: [Nickelodeon, producer, Irwin Winkler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Irwin Winkler
Context triple: [Nickelodeon, producer, Irwin Winkler]
  • A. Irwin Winkler chosen
    Irwin Winkler is an American film producer and director best known for producing the "Rocky" series and numerous other acclaimed Hollywood films.
  • B. 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.
  • C. Ilya Salkind
    Ilya Salkind is a film producer best known for co-producing the 1970s Superman films and other major international productions.
  • D. David Puttnam
    David Puttnam is a British film producer and politician best known for producing acclaimed films such as "Chariots of Fire" and "The Killing Fields."
  • E. Walter Mirisch
    Walter Mirisch was an Academy Award–winning American film producer and head of The Mirisch Corporation, known for overseeing numerous acclaimed films of the mid-20th century.
  • 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_69d6aac7953c8190b82caf9d7640fdf9 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9346f4c8190b29c2cf3a29cd1d1 completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4cca0d25c8190bfdbe1f6ee3b04cb completed April 19, 2026, 12:37 p.m.
Created at: April 8, 2026, 9:31 p.m.