Triple

T16638427
Position Surface form Disambiguated ID Type / Status
Subject Hero of the Republic (North Korea) E404267 entity
Predicate alsoKnownAs P39 FINISHED
Object 공화국영웅
공화국영웅은 조선민주주의인민공화국에서 국가와 체제에 특별한 공훈을 세운 인물에게 수여되는 최고 수준의 명예 칭호이다.
E1224527 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: 공화국영웅 | Statement: [Hero of the Republic (North Korea), alsoKnownAs, 공화국영웅]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 공화국영웅
Context triple: [Hero of the Republic (North Korea), alsoKnownAs, 공화국영웅]
  • A. Wonsu of the Republic
    Wonsu of the Republic is the highest military rank in South Korea, equivalent to a five-star marshal, reserved for exceptional wartime leadership.
  • B. Yong Duk Jhun
    Yong Duk Jhun is a South Korean-born cinematographer and animator best known for his visual work on major DreamWorks animated films, including the Kung Fu Panda series.
  • C. Yi Dongnyeong
    Yi Dongnyeong was a prominent Korean independence activist and politician who served as a key leader of the Provisional Government of the Republic of Korea during Japanese colonial rule.
  • D. Chang Myon
    Chang Myon was a prominent South Korean statesman who served as prime minister and a leading advocate for liberal democracy during the country’s early postwar period.
  • E. Pil-dong
    Pil-dong is a neighborhood in central Seoul, South Korea, known for its mix of traditional sites, educational institutions, and urban residential areas.
  • 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: 공화국영웅
Triple: [Hero of the Republic (North Korea), alsoKnownAs, 공화국영웅]
Generated description
공화국영웅은 조선민주주의인민공화국에서 국가와 체제에 특별한 공훈을 세운 인물에게 수여되는 최고 수준의 명예 칭호이다.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 공화국영웅
Target entity description: 공화국영웅은 조선민주주의인민공화국에서 국가와 체제에 특별한 공훈을 세운 인물에게 수여되는 최고 수준의 명예 칭호이다.
  • A. Wonsu of the Republic
    Wonsu of the Republic is the highest military rank in South Korea, equivalent to a five-star marshal, reserved for exceptional wartime leadership.
  • B. Yong Duk Jhun
    Yong Duk Jhun is a South Korean-born cinematographer and animator best known for his visual work on major DreamWorks animated films, including the Kung Fu Panda series.
  • C. Yi Dongnyeong
    Yi Dongnyeong was a prominent Korean independence activist and politician who served as a key leader of the Provisional Government of the Republic of Korea during Japanese colonial rule.
  • D. Chang Myon
    Chang Myon was a prominent South Korean statesman who served as prime minister and a leading advocate for liberal democracy during the country’s early postwar period.
  • E. Pil-dong
    Pil-dong is a neighborhood in central Seoul, South Korea, known for its mix of traditional sites, educational institutions, and urban residential areas.
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e378eb07388190a10e896bae7f098e completed April 18, 2026, 12:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007dc28df48190b01c1328df24df60 completed May 10, 2026, 12:44 p.m.
NEDg Description generation batch_6a007e8cff9881908c6b86da38fc2f08 completed May 10, 2026, 12:48 p.m.
NED2 Entity disambiguation (via description) batch_6a007f53918481908d84ecf50a562266 completed May 10, 2026, 12:51 p.m.
Created at: April 10, 2026, 5:18 a.m.