Triple
T4410848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jung |
E94848
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Hae-in Jung
Hae-in Jung is a South Korean actor known for his roles in television dramas and films.
|
E442919
|
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: Hae-in Jung | Statement: [Jung, hasNotableBearer, Hae-in Jung]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hae-in Jung Context triple: [Jung, hasNotableBearer, Hae-in Jung]
-
A.
Yumi Jung
Yumi Jung is a person notable enough to be recognized as a prominent bearer of the surname Jung.
-
B.
Son Hwa-jung
Son Hwa-jung was a key leader of the late 19th-century Donghak Peasant Rebellion in Korea, which sought social reform and resistance to corrupt officials and foreign influence.
-
C.
Lee In-hee
Lee In-hee is a South Korean businesswoman and heiress known as a prominent member of the Samsung founding family.
-
D.
Kim Sung-ae
Kim Sung-ae was the second wife of North Korean leader Kim Il Sung and a prominent political figure who headed the country’s women’s organization.
-
E.
Jang Hye-jin
Jang Hye-jin is a South Korean actress best known internationally for her role as the resourceful housekeeper in the Academy Award–winning film "Parasite."
- 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: Hae-in Jung Triple: [Jung, hasNotableBearer, Hae-in Jung]
Generated description
Hae-in Jung is a South Korean actor known for his roles in television dramas and films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hae-in Jung Target entity description: Hae-in Jung is a South Korean actor known for his roles in television dramas and films.
-
A.
Yumi Jung
Yumi Jung is a person notable enough to be recognized as a prominent bearer of the surname Jung.
-
B.
Son Hwa-jung
Son Hwa-jung was a key leader of the late 19th-century Donghak Peasant Rebellion in Korea, which sought social reform and resistance to corrupt officials and foreign influence.
-
C.
Lee In-hee
Lee In-hee is a South Korean businesswoman and heiress known as a prominent member of the Samsung founding family.
-
D.
Kim Sung-ae
Kim Sung-ae was the second wife of North Korean leader Kim Il Sung and a prominent political figure who headed the country’s women’s organization.
-
E.
Jang Hye-jin
Jang Hye-jin is a South Korean actress best known internationally for her role as the resourceful housekeeper in the Academy Award–winning film "Parasite."
- 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_69b34539638c8190abfea3eb29425210 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b354e4c58c8190b4190aad3095a1dd |
completed | March 13, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b627eb49308190a6830cbc52ad45cf |
completed | March 15, 2026, 3:30 a.m. |
| NEDg | Description generation | batch_69b628fe10908190978dd0361628f54f |
completed | March 15, 2026, 3:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b629ab52c881909f7fbef6f77b5bc4 |
completed | March 15, 2026, 3:38 a.m. |
Created at: March 12, 2026, 11:29 p.m.