Triple

T22023215
Position Surface form Disambiguated ID Type / Status
Subject Kim's Convenience E543892 entity
Predicate mainCharacter P1183 FINISHED
Object Jung Kim NE NERFINISHED

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: Jung Kim | Statement: [Kim's Convenience, mainCharacter, Jung Kim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jung Kim
Context triple: [Kim's Convenience, mainCharacter, Jung Kim]
  • A. Jung Kim chosen
    Jung Kim is the charismatic and quick-witted convenience store manager and son in the Canadian sitcom "Kim's Convenience."
  • B. Hong Kim
    Hong Kim is a film producer known for working on the animated feature "The Nut Job."
  • C. Kinam Kim
    Kinam Kim is a prominent South Korean semiconductor executive and technologist recognized for his leadership and contributions to the global chip industry.
  • D. Cole Kim
    Cole Kim is a character in the satirical 2007 mockumentary film "Finishing the Game," which humorously explores the casting search for a replacement for Bruce Lee after his death.
  • E. Sung Shin
    Sung Shin is a cinematographer known for their work on the 2020 film "Blush."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e2e8ea4819084210fe06d3a1b8d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127c9959481908da6bed356199f75 completed April 28, 2026, 9:34 p.m.
Created at: April 16, 2026, 8:23 p.m.