Triple

T19411684
Position Surface form Disambiguated ID Type / Status
Subject Ali Abdul E485601 entity
Predicate relationshipWith P10260 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: [Ali Abdul, relationshipWith, Seong Gi-hun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seong Gi-hun
Context triple: [Ali Abdul, relationshipWith, 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. Yong-gi
    Yong-gi is a Korean given name commonly used for males.
  • D. Sung-tae
    Sung-tae is a Korean masculine given name commonly used in South Korea.
  • E. Kim Seung-kyum
    Kim Seung-kyum is a South Korean four-star general who has served as the country’s top military officer, overseeing overall defense strategy and joint operations.
  • 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_69d8e8d5162481909db12435d9535c1a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e62af681288190ba2ec52d5adb6a22 completed April 20, 2026, 1:32 p.m.
Created at: April 10, 2026, 1:37 p.m.