Triple
T21294960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ko Un |
E524896
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object |
고은
고은은 한국 현대시를 대표하는 시인이자 소설가로, 방대한 시집과 문학 작품을 통해 국내외에서 널리 알려진 문학가이다.
|
E1475715
|
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: 고은 | Statement: [Ko Un, nativeName, 고은]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 고은 Context triple: [Ko Un, nativeName, 고은]
-
A.
Byeon Bong-seon
Byeon Bong-seon is a South Korean cinematographer known for his work on the sci-fi film "Space Sweepers."
-
B.
Jeong Seon
Jeong Seon was a prominent Korean painter of the Joseon dynasty, renowned for pioneering a distinctive style of true-view landscape painting based on actual Korean scenery.
-
C.
Myung-whun
Myung-whun is a renowned South Korean conductor and pianist known for leading major international orchestras and promoting classical music worldwide.
-
D.
Dong Hee-seon
Dong Hee-seon is a South Korean screenwriter best known for her work on the hit fantasy-comedy film "Miss Granny."
-
E.
Chae Song-hwa
Chae Song-hwa is a highly skilled, compassionate neurosurgeon and one of the central members of the longtime friend group in the South Korean medical drama "Hospital Playlist."
- 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: 고은 Triple: [Ko Un, nativeName, 고은]
Generated description
고은은 한국 현대시를 대표하는 시인이자 소설가로, 방대한 시집과 문학 작품을 통해 국내외에서 널리 알려진 문학가이다.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 고은 Target entity description: 고은은 한국 현대시를 대표하는 시인이자 소설가로, 방대한 시집과 문학 작품을 통해 국내외에서 널리 알려진 문학가이다.
-
A.
Byeon Bong-seon
Byeon Bong-seon is a South Korean cinematographer known for his work on the sci-fi film "Space Sweepers."
-
B.
Jeong Seon
Jeong Seon was a prominent Korean painter of the Joseon dynasty, renowned for pioneering a distinctive style of true-view landscape painting based on actual Korean scenery.
-
C.
Myung-whun
Myung-whun is a renowned South Korean conductor and pianist known for leading major international orchestras and promoting classical music worldwide.
-
D.
Dong Hee-seon
Dong Hee-seon is a South Korean screenwriter best known for her work on the hit fantasy-comedy film "Miss Granny."
-
E.
Chae Song-hwa
Chae Song-hwa is a highly skilled, compassionate neurosurgeon and one of the central members of the longtime friend group in the South Korean medical drama "Hospital Playlist."
- 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_69e0b517e6748190850d6f6ddf323d69 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73857784881908c3b8418a4c00c1e |
completed | April 21, 2026, 8:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09981227a4819095b3ba894f0c6828 |
completed | May 17, 2026, 10:27 a.m. |
| NEDg | Description generation | batch_6a099892435c8190844d6587d1202ff2 |
completed | May 17, 2026, 10:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0999266e0c8190b815cb90d9c984c6 |
completed | May 17, 2026, 10:32 a.m. |
Created at: April 16, 2026, 4:04 p.m.