Triple
T9610578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeong |
E232087
|
entity |
| Predicate | notableBearer |
P458
|
FINISHED |
| Object |
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.
|
E812457
|
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: Jeong Seon | Statement: [Jeong, notableBearer, Jeong Seon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeong Seon Context triple: [Jeong, notableBearer, Jeong Seon]
-
A.
Heo Jeong
Heo Jeong was a South Korean politician who served as prime minister and played a significant role in the country’s early post-war democratic politics.
-
B.
Jung Jang-seon
Jung Jang-seon is a South Korean politician serving as the mayor of the city of Pyeongtaek.
-
C.
Kang Sae-byeok
Kang Sae-byeok is a North Korean defector and pickpocket who becomes one of the central, emotionally resonant contestants in the deadly survival competition of the South Korean series "Squid Game."
-
D.
Jinwicheon
Jinwicheon is a river flowing through the city of Pyeongtaek in South Korea.
-
E.
Seong Ga-yeong
Seong Ga-yeong is the young daughter of protagonist Seong Gi-hun in the South Korean series "Squid Game."
- 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: Jeong Seon Triple: [Jeong, notableBearer, Jeong Seon]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jeong Seon Target entity description: 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.
-
A.
Heo Jeong
Heo Jeong was a South Korean politician who served as prime minister and played a significant role in the country’s early post-war democratic politics.
-
B.
Jung Jang-seon
Jung Jang-seon is a South Korean politician serving as the mayor of the city of Pyeongtaek.
-
C.
Kang Sae-byeok
Kang Sae-byeok is a North Korean defector and pickpocket who becomes one of the central, emotionally resonant contestants in the deadly survival competition of the South Korean series "Squid Game."
-
D.
Jinwicheon
Jinwicheon is a river flowing through the city of Pyeongtaek in South Korea.
-
E.
Seong Ga-yeong
Seong Ga-yeong is the young daughter of protagonist Seong Gi-hun in the South Korean series "Squid Game."
- 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_69ca8485a90c819094fe40b42fde9d70 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a85d4c881909ccab2e972d97e68 |
completed | April 1, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18223429c8190b1b96b07155c5742 |
completed | April 4, 2026, 9:26 p.m. |
| NEDg | Description generation | batch_69d1848e065081908be8e23cc9420fcc |
completed | April 4, 2026, 9:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d184f560f4819094e7375f0589c4cd |
completed | April 4, 2026, 9:39 p.m. |
Created at: March 30, 2026, 8:08 p.m.