Triple
T10424199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeon Bong-jun |
E245741
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
General Nokdu
General Nokdu is the honorific nickname of Jeon Bong-jun, the prominent leader of the 1894 Donghak Peasant Revolution in Korea.
|
E862519
|
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: General Nokdu | Statement: [Jeon Bong-jun, alsoKnownAs, General Nokdu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: General Nokdu Context triple: [Jeon Bong-jun, alsoKnownAs, General Nokdu]
-
A.
Gook
Gook is a 2017 independent drama film by Justin Chon that follows two Korean American brothers and a young Black girl during the 1992 Los Angeles riots, exploring racial tension, friendship, and identity.
-
B.
Gukmun
Gukmun is an old Korean term referring to the native Korean writing system that later came to be known as Joseongeul or Hangul.
-
C.
Kwan-non
Kwan-non is an alternative spelling of Kannon, the Japanese Buddhist bodhisattva of compassion derived from the Chinese Guanyin.
-
D.
Won-dong
Won-dong is a neighborhood (dong) within the city of Osan in Gyeonggi Province, South Korea.
-
E.
Kook-Chun
Kook-Chun is the family name of actor Shannon Kook, known for his roles in film and television.
- 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: General Nokdu Triple: [Jeon Bong-jun, alsoKnownAs, General Nokdu]
Generated description
General Nokdu is the honorific nickname of Jeon Bong-jun, the prominent leader of the 1894 Donghak Peasant Revolution in Korea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: General Nokdu Target entity description: General Nokdu is the honorific nickname of Jeon Bong-jun, the prominent leader of the 1894 Donghak Peasant Revolution in Korea.
-
A.
Gook
Gook is a 2017 independent drama film by Justin Chon that follows two Korean American brothers and a young Black girl during the 1992 Los Angeles riots, exploring racial tension, friendship, and identity.
-
B.
Gukmun
Gukmun is an old Korean term referring to the native Korean writing system that later came to be known as Joseongeul or Hangul.
-
C.
Kwan-non
Kwan-non is an alternative spelling of Kannon, the Japanese Buddhist bodhisattva of compassion derived from the Chinese Guanyin.
-
D.
Won-dong
Won-dong is a neighborhood (dong) within the city of Osan in Gyeonggi Province, South Korea.
-
E.
Kook-Chun
Kook-Chun is the family name of actor Shannon Kook, known for his roles in film and television.
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea47a6408190a87b32760692487f |
completed | April 7, 2026, 11:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fc2160208190b6384190d9537df4 |
completed | April 9, 2026, 7:21 p.m. |
| NEDg | Description generation | batch_69d822d76f3481909f7c04be19414b14 |
completed | April 9, 2026, 10:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d859fd8f0c8190b0fec880e1180e50 |
completed | April 10, 2026, 2:01 a.m. |
Created at: April 6, 2026, 12:12 p.m.