Triple

T19503330
Position Surface form Disambiguated ID Type / Status
Subject Squid Game episode 8 E487956 entity
Predicate featuresCharacter P626 FINISHED
Object Seong Gi-hun 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: Seong Gi-hun | Statement: [Squid Game episode 8, featuresCharacter, Seong Gi-hun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seong Gi-hun
Context triple: [Squid Game episode 8, featuresCharacter, Seong Gi-hun]
  • A. Seong Gi-hun chosen
    Seong Gi-hun is the debt-ridden, down-on-his-luck protagonist of the South Korean series "Squid Game," whose moral struggles and desperation drive the story’s deadly competition.
  • B. Cho Choong-hoon
    Cho Choong-hoon was a South Korean businessman best known as the founder of Hanjin Group, the conglomerate behind Korean Air and other major logistics and transportation businesses.
  • C. Dong-soo
    Dong-soo is a central character in the South Korean film "Broker," portrayed as a morally conflicted man involved in an illegal baby adoption scheme.
  • D. Yong-gi
    Yong-gi is a Korean given name commonly used for males.
  • E. Sung-tae
    Sung-tae is a Korean masculine given name commonly used in South Korea.
  • 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6350f8d888190a4809c83522933d4 completed April 20, 2026, 2:15 p.m.
Created at: April 10, 2026, 1:40 p.m.