Triple

T6954451
Position Surface form Disambiguated ID Type / Status
Subject Poker Face (TV series) E161206 entity
Predicate executiveProducer P7225 FINISHED
Object Ram Bergman E145598 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: Ram Bergman | Statement: [Poker Face (TV series), executiveProducer, Ram Bergman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ram Bergman
Context triple: [Poker Face (TV series), executiveProducer, Ram Bergman]
  • A. Ram Bergman chosen
    Ram Bergman is an Israeli film producer best known for his long-time collaboration with director Rian Johnson on films such as "Brick," "Looper," and "Star Wars: The Last Jedi."
  • B. Martin Bergman
    Martin Bergman is a British screenwriter and producer best known for co-writing the 1992 ensemble comedy-drama film "Peter’s Friends."
  • C. David Bergman
    David Bergman is a senior executive and key financial leader at Under Armour, serving as the company's Chief Financial Officer.
  • D. David Bergman
    David Bergman is a name shared by multiple individuals, including professionals in fields such as photography, law, and academia.
  • E. Alan Siegel
    Alan Siegel is a film producer best known for his long-running collaboration with actor Gerard Butler on action and thriller movies.
  • 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_69c68852a9a0819097797e31d492e273 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dace1a94819095311e4288f01784 completed March 27, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c75883f6888190a75515be49e7879e completed March 28, 2026, 4:26 a.m.
Created at: March 27, 2026, 2:29 p.m.