Triple

T20097770
Position Surface form Disambiguated ID Type / Status
Subject Ji-yeong E496448 entity
Predicate createdBy P806 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: [Ji-yeong, createdBy, Hwang Dong-hyuk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hwang Dong-hyuk
Context triple: [Ji-yeong, createdBy, 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_69da626eee3881909f3454986d4a6511 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6666d83448190b3ade3f5b855e820 completed April 20, 2026, 5:46 p.m.
Created at: April 11, 2026, 11:25 p.m.