Triple

T14509220
Position Surface form Disambiguated ID Type / Status
Subject Zero Days E340351 entity
Predicate producer P490 FINISHED
Object Marc Shmuger E927954 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: Marc Shmuger | Statement: [Zero Days, producer, Marc Shmuger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marc Shmuger
Context triple: [Zero Days, producer, Marc Shmuger]
  • A. Marc Shmuger chosen
    Marc Shmuger is an American film executive and producer who has held top leadership roles at major studios such as Universal Pictures.
  • B. Marc Roskin
    Marc Roskin is a television producer and director best known for his work on genre and adventure series such as "The Librarians."
  • C. Dov Frohman
    Dov Frohman is an Israeli engineer and inventor best known for pioneering the EPROM (erasable programmable read-only memory) and for his leadership role at Intel Israel.
  • D. Ben Shenkman
    Ben Shenkman is an American actor known for his work in film, television, and theater, including acclaimed roles in projects like "Angels in America."
  • E. Sam Zvibleman
    Sam Zvibleman is a filmmaker and television writer-director best known for co-creating and directing the coming-of-age comedy series "PEN15."
  • 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de94e5b7b48190878be271840c265b completed April 14, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a4660c881908d0cdc27c277ae6b completed May 8, 2026, 5:53 a.m.
Created at: April 10, 2026, 1:21 a.m.