Triple

T19411902
Position Surface form Disambiguated ID Type / Status
Subject Ode to My Father E485606 entity
Predicate musicBy P1952 FINISHED
Object Lee Ki-young
Lee Ki-young is a South Korean composer and musician best known for his work on the film score of the hit movie "Ode to My Father."
 E1432675 NE FINISHED

How this triple was built (4 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: Lee Ki-young | Statement: [Ode to My Father, musicBy, Lee Ki-young]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lee Ki-young
Context triple: [Ode to My Father, musicBy, Lee Ki-young]
  • A. Lee Joo-young
    Lee Joo-young is a South Korean actress known for her roles in independent films and television dramas, often portraying complex, unconventional characters.
  • B. Won Jin-ah
    Won Jin-ah is a South Korean actress known for her roles in television dramas and films, including the dark fantasy series "Hellbound."
  • C. Yu Jae-sun
    Yu Jae-sun is a film producer best known for producing the South Korean movie "Silenced."
  • D. Jeon Mi-do
    Jeon Mi-do is a South Korean actress and musical theatre performer best known for her breakout television role in the acclaimed drama series "Hospital Playlist."
  • E. Lee Hae-jin
    Lee Hae-jin is a South Korean entrepreneur and technologist best known as the founder and longtime leader of internet giant Naver Corporation.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lee Ki-young
Triple: [Ode to My Father, musicBy, Lee Ki-young]
Generated description
Lee Ki-young is a South Korean composer and musician best known for his work on the film score of the hit movie "Ode to My Father."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lee Ki-young
Target entity description: Lee Ki-young is a South Korean composer and musician best known for his work on the film score of the hit movie "Ode to My Father."
  • A. Lee Joo-young
    Lee Joo-young is a South Korean actress known for her roles in independent films and television dramas, often portraying complex, unconventional characters.
  • B. Won Jin-ah
    Won Jin-ah is a South Korean actress known for her roles in television dramas and films, including the dark fantasy series "Hellbound."
  • C. Yu Jae-sun
    Yu Jae-sun is a film producer best known for producing the South Korean movie "Silenced."
  • D. Jeon Mi-do
    Jeon Mi-do is a South Korean actress and musical theatre performer best known for her breakout television role in the acclaimed drama series "Hospital Playlist."
  • E. Lee Hae-jin
    Lee Hae-jin is a South Korean entrepreneur and technologist best known as the founder and longtime leader of internet giant Naver Corporation.
  • F. None of above. chosen

Provenance (5 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.
NED1 Entity disambiguation (via context triple) batch_6a088af613dc81908d346f4df93f05fa completed May 16, 2026, 3:19 p.m.
NEDg Description generation batch_6a088c0f55348190b33ab62ed033ed39 completed May 16, 2026, 3:23 p.m.
NED2 Entity disambiguation (via description) batch_6a088d00188c8190bb8da973f31b1e47 completed May 16, 2026, 3:28 p.m.
Created at: April 10, 2026, 1:37 p.m.