Triple

T13709271
Position Surface form Disambiguated ID Type / Status
Subject Death Watch E328726 entity
Predicate producer P490 FINISHED
Object Serge Silberman E789839 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: Serge Silberman | Statement: [Death Watch, producer, Serge Silberman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Serge Silberman
Context triple: [Death Watch, producer, Serge Silberman]
  • A. Serge Silberman chosen
    Serge Silberman was a prominent French film producer best known for his collaborations with director Luis Buñuel on several landmark surrealist films.
  • B. Jerome Silberman
    Jerome Silberman, better known by his stage name Gene Wilder, was an American actor, screenwriter, and director famed for his comedic roles in films such as Willy Wonka & the Chocolate Factory and his collaborations with Mel Brooks.
  • C. Emanuel Stolaroff
    Emanuel Stolaroff was an American businessman best known as the founder of the skincare company Neutrogena.
  • D. Leo Salkin
    Leo Salkin was an American animator, writer, and storyboard artist known for his work on mid-20th-century animated films and shorts.
  • E. Edward Chodorov
    Edward Chodorov was an American playwright, screenwriter, and producer known for his work in mid-20th-century Hollywood and Broadway.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dd43949e6c8190ae5e4fa119cde33a completed April 13, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7a845a29c81908096a785f5af5521 completed May 3, 2026, 7:55 p.m.
Created at: April 9, 2026, 9:54 p.m.