Triple

T5029573
Position Surface form Disambiguated ID Type / Status
Subject Seong Gi-hun E113262 entity
Predicate portrayedBy P1507 FINISHED
Object Lee Jung-jae E127015 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: Lee Jung-jae | Statement: [Seong Gi-hun, portrayedBy, Lee Jung-jae]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lee Jung-jae
Context triple: [Seong Gi-hun, portrayedBy, Lee Jung-jae]
  • A. Lee Jung-jae chosen
    Lee Jung-jae is a South Korean actor and former model renowned for his versatile film and television roles, gaining worldwide fame for his performance in the Netflix series "Squid Game."
  • B. Jung Jae-il
    Jung Jae-il is a South Korean composer and musician best known internationally for his atmospheric and unsettling scores for acclaimed works like the series "Squid Game" and the film "Parasite."
  • C. Han Jin-won
    Han Jin-won is a South Korean screenwriter best known for co-writing the Academy Award–winning film "Parasite."
  • D. Byung-hun Lee
    Byung-hun Lee is a prominent South Korean actor known internationally for his roles in both Korean cinema and Hollywood films, including major action and thriller productions.
  • E. Lee Sun-kyun
    Lee Sun-kyun was a South Korean actor acclaimed for his versatile performances in film and television, notably in works like the Academy Award–winning film "Parasite" and the series "My Mister."
  • 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_69bd443775e48190a646ffbfc4334723 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd739099a0819099c6201d4e1c5ee2 completed March 20, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c6859a88190bbf5688812f2eb91 completed March 21, 2026, 1:26 p.m.
Created at: March 20, 2026, 1:36 p.m.