Triple

T22969682
Position Surface form Disambiguated ID Type / Status
Subject Baywatch: Hawaii E571148 entity
Predicate creator P184 FINISHED
Object Michael Berk 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: Michael Berk | Statement: [Baywatch: Hawaii, creator, Michael Berk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Berk
Context triple: [Baywatch: Hawaii, creator, Michael Berk]
  • A. Michael Berk chosen
    Michael Berk is an American television and film writer best known as a co-creator and producer of the hit series "Baywatch" and for his work on inspirational sports dramas like "Soul Surfer."
  • B. Ian Biederman
    Ian Biederman is an American television writer and producer best known for creating and working on various network drama series.
  • C. Michael Krieger
    Michael Krieger is a relatively obscure individual whose name is shared with several people, including professionals in fields such as finance commentary and creative media.
  • D. Michael Krieger
    Michael Krieger is a fictional character appearing in the story of "Watch Over Me."
  • E. Daniel Bachman
    Daniel Bachman is an American guitarist and composer known for his intricate, atmospheric solo acoustic work in the contemporary folk and American primitive traditions.
  • 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_69e245b2c6548190a0e4c7f2f7df2d48 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18231459881909dd25a0630c494d8 completed April 29, 2026, 3:59 a.m.
Created at: April 17, 2026, 3:48 p.m.