Triple

T3529761
Position Surface form Disambiguated ID Type / Status
Subject Dorian Sagan E74628 entity
Predicate coAuthorWith P398 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: [Dorian Sagan, coAuthorWith, Tyler Volk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tyler Volk
Context triple: [Dorian Sagan, coAuthorWith, 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. Jason Fuchs
    Jason Fuchs is an American screenwriter and actor best known for writing major studio films such as Wonder Woman (2017) and Pan (2015).
  • C. Nick Wechsler
    Nick Wechsler is an American actor best known for his television roles, including playing Jack Porter on the drama series "Revenge."
  • D. Nick Wechsler
    Nick Wechsler is an American film producer known for backing acclaimed independent and studio features, including the drama "North Country."
  • E. Brandon Trost
    Brandon Trost is an American cinematographer and director known for his dynamic, stylized visual work on high-energy action and genre films.
  • 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_69ad85d1a3948190931fd1ea1f49717b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc9764a881908aa8d25dc9adf59e completed March 8, 2026, 6:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69b432fab6d48190b13076783a62b96f completed March 13, 2026, 3:53 p.m.
Created at: March 8, 2026, 3:19 p.m.