Triple

T16053196
Position Surface form Disambiguated ID Type / Status
Subject The Perks of Being a Wallflower E389406 entity
Predicate mainCharacter P1183 FINISHED
Object Charlie Kelmeckis E635778 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: Charlie Kelmeckis | Statement: [The Perks of Being a Wallflower, mainCharacter, Charlie Kelmeckis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlie Kelmeckis
Context triple: [The Perks of Being a Wallflower, mainCharacter, Charlie Kelmeckis]
  • A. Charlie Kelmeckis chosen
    Charlie Kelmeckis is the introspective teenage protagonist and narrator of Stephen Chbosky’s coming-of-age novel and film "The Perks of Being a Wallflower."
  • B. Ty Stiklorius
    Ty Stiklorius is a music and entertainment executive best known as John Legend’s longtime manager and co-founder of the management and media company Friends at Work.
  • C. Bob Cmelik
    Bob Cmelik is a computer engineer best known as one of the founders of the innovative microprocessor company Transmeta.
  • D. Joe Arlauckas
    Joe Arlauckas is a former American professional basketball player best known for his prolific scoring in European leagues, particularly in Spain’s ACB and with Real Madrid.
  • E. Stephen Kazmierski
    Stephen Kazmierski is a cinematographer best known for his work on the acclaimed independent film "You Can Count on Me."
  • 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1836365688190b182f29bbb66127e completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe478bcc48190bdd4fcb7ec51caad completed May 10, 2026, 1:50 a.m.
Created at: April 10, 2026, 4:56 a.m.