Triple

T14392285
Position Surface form Disambiguated ID Type / Status
Subject Metapatterns: Across Space, Time, and Mind E356873 entity
Predicate author P4 FINISHED
Object Tyler Volk E72211 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: Tyler Volk | Statement: [Metapatterns: Across Space, Time, and Mind, author, Tyler Volk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tyler Volk
Context triple: [Metapatterns: Across Space, Time, and Mind, author, Tyler Volk]
  • A. Tyler Volk chosen
    Tyler Volk is an American biologist, author, and professor known for his work on biosphere science, global ecology, and the evolution of complex systems.
  • B. Stephen Volk
    Stephen Volk is a British screenwriter and author best known for his work in supernatural and horror drama for film and television.
  • C. Tyler Korff
    Tyler Korff is an American attorney and media executive known for his role in the Redstone family’s media empire and his work with companies linked to Paramount Global and National Amusements.
  • D. Jared Vennett
    Jared Vennett is a slick, opportunistic Wall Street trader in "The Big Short" who profits by betting against the U.S. housing market before its 2008 collapse.
  • E. Evan Jonigkeit
    Evan Jonigkeit is an American actor known for his work in film, television, and theater, including roles in projects like "X-Men: Days of Future Past" and various independent productions.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de902b9acc8190817ffa848a76a880 completed April 14, 2026, 7:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5517f5e481908fd65177c34f4282 completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:16 a.m.