Triple

T21952059
Position Surface form Disambiguated ID Type / Status
Subject Quiz Show E542092 entity
Predicate producer P490 FINISHED
Object Julian Krainin 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: Julian Krainin | Statement: [Quiz Show, producer, Julian Krainin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julian Krainin
Context triple: [Quiz Show, producer, Julian Krainin]
  • A. Julian Krainin chosen
    Julian Krainin is an American film and television producer and director known for his work on acclaimed projects such as the historical drama "Quiz Show."
  • B. Julian Kornhauser
    Julian Kornhauser is a Polish poet, literary critic, and translator associated with the New Wave (Nowa Fala) movement.
  • C. George Kralovansky
    George Kralovansky is a television producer best known for his executive production work on the live law-enforcement reality series "Live PD."
  • D. Michael Gruskoff
    Michael Gruskoff is an American film producer best known for his work on influential 1970s and 1980s films, including the cult science fiction movie "Silent Running."
  • E. Samuel Skavronsky
    Samuel Skavronsky was the father of Marta Samuilovna Skavronskaya, who later became Empress Catherine I of Russia.
  • 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_69e0c47ef0e48190a50e1bcc43f4b3fd completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1243c84d4819097f5a93b128f024b completed April 28, 2026, 9:18 p.m.
Created at: April 16, 2026, 7:58 p.m.