Triple
T5949237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | O Yeong-su |
E132355
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object |
오영수
오영수는 넷플릭스 드라마 「오징어 게임」에서의 노인 참가자 ‘오일남’ 역으로 세계적인 주목을 받은 대한민국의 배우이다.
|
E559607
|
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: 오영수 | Statement: [O Yeong-su, nativeName, 오영수]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 오영수 Context triple: [O Yeong-su, nativeName, 오영수]
-
A.
Kang Pan-sok
Kang Pan-sok was a Korean woman best known as the mother of North Korea’s founding leader Kim Il Sung and is venerated in North Korean state mythology.
-
B.
Shin Young-soo
Shin Young-soo is a South Korean physician and public health expert who served as the World Health Organization’s Regional Director for the Western Pacific.
-
C.
Suh Yun-bok
Suh Yun-bok was a South Korean long-distance runner best known for winning the 1947 Boston Marathon and later serving as a symbolic sports figure in Korea.
-
D.
Jeon Bong-jun
Jeon Bong-jun was a prominent late 19th-century Korean peasant leader who spearheaded the Donghak Peasant Rebellion against corrupt officials and foreign influence in Joseon Korea.
-
E.
Joseph Kyeong Kap-ryong
Joseph Kyeong Kap-ryong was a South Korean Roman Catholic prelate who served as bishop and later bishop emeritus of the Diocese of Daejeon.
- 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: 오영수 Triple: [O Yeong-su, nativeName, 오영수]
Generated description
오영수는 넷플릭스 드라마 「오징어 게임」에서의 노인 참가자 ‘오일남’ 역으로 세계적인 주목을 받은 대한민국의 배우이다.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 오영수 Target entity description: 오영수는 넷플릭스 드라마 「오징어 게임」에서의 노인 참가자 ‘오일남’ 역으로 세계적인 주목을 받은 대한민국의 배우이다.
-
A.
Kang Pan-sok
Kang Pan-sok was a Korean woman best known as the mother of North Korea’s founding leader Kim Il Sung and is venerated in North Korean state mythology.
-
B.
Shin Young-soo
Shin Young-soo is a South Korean physician and public health expert who served as the World Health Organization’s Regional Director for the Western Pacific.
-
C.
Suh Yun-bok
Suh Yun-bok was a South Korean long-distance runner best known for winning the 1947 Boston Marathon and later serving as a symbolic sports figure in Korea.
-
D.
Jeon Bong-jun
Jeon Bong-jun was a prominent late 19th-century Korean peasant leader who spearheaded the Donghak Peasant Rebellion against corrupt officials and foreign influence in Joseon Korea.
-
E.
Joseph Kyeong Kap-ryong
Joseph Kyeong Kap-ryong was a South Korean Roman Catholic prelate who served as bishop and later bishop emeritus of the Diocese of Daejeon.
- 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_69c00869d3308190af89b2453e0f7546 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0397deea08190b9397d0413740300 |
completed | March 22, 2026, 6:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e3c4120c8190bab97f91a7bc7030 |
completed | March 23, 2026, 6:55 a.m. |
| NEDg | Description generation | batch_69c0f66f787c81909f76556d8e688a9a |
completed | March 23, 2026, 8:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0f73744b08190b82c538fa723c42a |
completed | March 23, 2026, 8:17 a.m. |
Created at: March 22, 2026, 4:02 p.m.