Triple

T20861544
Position Surface form Disambiguated ID Type / Status
Subject Kang Cheol E513629 entity
Predicate creator P184 FINISHED
Object Hwang Dong-hyuk 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: Hwang Dong-hyuk | Statement: [Kang Cheol, creator, Hwang Dong-hyuk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hwang Dong-hyuk
Context triple: [Kang Cheol, creator, Hwang Dong-hyuk]
  • A. Hwang Dong-hyuk chosen
    Hwang Dong-hyuk is a South Korean film and television director and screenwriter best known internationally for creating the hit Netflix survival drama series "Squid Game."
  • B. Na Hong-jin
    Na Hong-jin is a South Korean filmmaker renowned for his intense, genre-blending thrillers such as "The Chaser," "The Yellow Sea," and "The Wailing."
  • C. Kim Jee-woon
    Kim Jee-woon is a South Korean film director and screenwriter known for his stylish, genre-spanning works such as "A Tale of Two Sisters," "A Bittersweet Life," and "I Saw the Devil."
  • D. Hong Joon-pyo
    Hong Joon-pyo is a South Korean conservative politician who has served as governor of South Gyeongsang Province and as a prominent national lawmaker and party leader.
  • E. Yeon Sang-ho
    Yeon Sang-ho is a South Korean filmmaker best known internationally for directing the hit zombie thriller "Train to Busan" and its related works.
  • 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_69e0b4f5b01081909452f654d2fc3f50 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c3ad3d1c8190be2fe35a85f2447c completed April 21, 2026, 12:24 a.m.
Created at: April 16, 2026, 12:44 p.m.