Triple

T5067494
Position Surface form Disambiguated ID Type / Status
Subject Finn Wolfhard E114178 entity
Predicate characterPortrayed P1507 FINISHED
Object Mike Wheeler E224277 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: Mike Wheeler | Statement: [Finn Wolfhard, characterPortrayed, Mike Wheeler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mike Wheeler
Context triple: [Finn Wolfhard, characterPortrayed, Mike Wheeler]
  • A. Mike Wheeler chosen
    Mike Wheeler is a central character in the sci-fi horror series "Stranger Things," known as a loyal, determined member of the core friend group who helps confront supernatural threats in the town of Hawkins.
  • B. Sam Wheeler
    Sam Wheeler is the father of Ted Wheeler, the mayor of Portland, Oregon.
  • C. Phil Wenneck
    Phil Wenneck is a charismatic, fast-talking schoolteacher and member of the "Wolfpack" whose misadventures drive much of the comedy in The Hangover film series.
  • D. Chris Ridenhour
    Chris Ridenhour is a film composer known for scoring numerous low-budget genre movies, including works produced by The Asylum.
  • E. Kevin Dunn
    Kevin Dunn is an American character actor known for his supporting roles in numerous films and television series, including the romantic comedy-drama "Vicky Cristina Barcelona."
  • 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_69bd443c0c8c81908663b77afb28e165 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd749bf69c819093e75dce56f1c0ab completed March 20, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf8575c1e48190a611bbbe9b3fb286 completed March 22, 2026, 6 a.m.
Created at: March 20, 2026, 1:38 p.m.