Triple

T21869518
Position Surface form Disambiguated ID Type / Status
Subject Burning E539965 entity
Predicate cinematographyBy P1953 FINISHED
Object Hong Kyung-pyo 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: Hong Kyung-pyo | Statement: [Burning, cinematographyBy, Hong Kyung-pyo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hong Kyung-pyo
Context triple: [Burning, cinematographyBy, Hong Kyung-pyo]
  • A. Hong Kyung-pyo chosen
    Hong Kyung-pyo is a South Korean cinematographer renowned for his visually striking work on acclaimed films such as "Snowpiercer," "Burning," and "Parasite."
  • B. Lee Jin-wook
    Lee Jin-wook is a South Korean actor known for his roles in popular films and television dramas, often recognized for his versatile performances in romance and fantasy genres.
  • C. 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.
  • D. Kim Sang-hun
    Kim Sang-hun is a central fictional figure in the historical Korean film "The Fortress," which portrays the moral and political struggles of Joseon officials during the Qing invasion.
  • E. Oh Sang-uk
    Oh Sang-uk is a South Korean sabre fencer known for winning multiple world championship titles and representing South Korea at major international competitions.
  • 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_69e0c478f59081909d54302b57fc1ce3 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f0f334362c819094af465ee57b47e6 completed April 28, 2026, 5:49 p.m.
Created at: April 16, 2026, 6:57 p.m.