Triple

T5190686
Position Surface form Disambiguated ID Type / Status
Subject Charlie Heaton E117144 entity
Predicate playedCharacter P1507 FINISHED
Object Jonathan Byers E213550 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: Jonathan Byers | Statement: [Charlie Heaton, playedCharacter, Jonathan Byers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonathan Byers
Context triple: [Charlie Heaton, playedCharacter, Jonathan Byers]
  • A. Jonathan Byers chosen
    Jonathan Byers is a quiet, introspective teenager and aspiring photographer from the Byers family in the supernatural horror series "Stranger Things."
  • B. Jeffrey Byron
    Jeffrey Byron is an American actor known for his work in film and television since the 1960s, including roles in genre and action productions.
  • C. Chris Ridenhour
    Chris Ridenhour is a film composer known for scoring numerous low-budget genre movies, including works produced by The Asylum.
  • D. Bryan Bedford
    Bryan Bedford is an American airline executive best known for leading regional carriers such as Chautauqua Airlines and Republic Airways Holdings.
  • E. Matthew Aldrich
    Matthew Aldrich is an American screenwriter best known for co-writing Pixar’s Academy Award–winning animated film "Coco."
  • 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_69bd44620ff48190bcac01782107a397 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79ebbfd081909a19b903c227fc1f completed March 20, 2026, 4:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfa1bb8b5481908f02d08594cc2e1f completed March 22, 2026, 8 a.m.
Created at: March 20, 2026, 1:46 p.m.