Triple

T19411180
Position Surface form Disambiguated ID Type / Status
Subject Sea Fog E485590 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: [Sea Fog, cinematographyBy, Hong Kyung-pyo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hong Kyung-pyo
Context triple: [Sea Fog, 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_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.