Triple
T10730673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Park Geun-hye |
E253062
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object |
Park Geun-ryeong
Park Geun-ryeong is a South Korean businesswoman and the younger sister of former South Korean president Park Geun-hye.
|
E883427
|
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: Park Geun-ryeong | Statement: [Park Geun-hye, sibling, Park Geun-ryeong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Park Geun-ryeong Context triple: [Park Geun-hye, sibling, Park Geun-ryeong]
-
A.
An Jung-geun
An Jung-geun was a Korean independence activist and nationalist who assassinated Japanese statesman Itō Hirobumi in 1909 in protest of Japan’s colonial rule over Korea.
-
B.
Jang Young-hwan
Jang Young-hwan is a South Korean film producer best known for his work on the Academy Award–winning film "Parasite."
-
C.
Won Gyun
Won Gyun was a Joseon Dynasty naval commander best known for his controversial leadership and defeat during the Japanese invasions of Korea in the late 16th century.
-
D.
Kim Hong-gul
Kim Hong-gul is a South Korean politician and the son of former President and Nobel Peace Prize laureate Kim Dae-jung.
-
E.
Yoon Je-moon
Yoon Je-moon is a South Korean actor known for his versatile performances in both critically acclaimed films and television dramas.
- 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: Park Geun-ryeong Triple: [Park Geun-hye, sibling, Park Geun-ryeong]
Generated description
Park Geun-ryeong is a South Korean businesswoman and the younger sister of former South Korean president Park Geun-hye.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Park Geun-ryeong Target entity description: Park Geun-ryeong is a South Korean businesswoman and the younger sister of former South Korean president Park Geun-hye.
-
A.
An Jung-geun
An Jung-geun was a Korean independence activist and nationalist who assassinated Japanese statesman Itō Hirobumi in 1909 in protest of Japan’s colonial rule over Korea.
-
B.
Jang Young-hwan
Jang Young-hwan is a South Korean film producer best known for his work on the Academy Award–winning film "Parasite."
-
C.
Won Gyun
Won Gyun was a Joseon Dynasty naval commander best known for his controversial leadership and defeat during the Japanese invasions of Korea in the late 16th century.
-
D.
Kim Hong-gul
Kim Hong-gul is a South Korean politician and the son of former President and Nobel Peace Prize laureate Kim Dae-jung.
-
E.
Yoon Je-moon
Yoon Je-moon is a South Korean actor known for his versatile performances in both critically acclaimed films and television dramas.
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d70fcb1cd881909635def59ad5d19c |
completed | April 9, 2026, 2:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de22a97fec8190bb97f68353c2144e |
completed | April 14, 2026, 11:19 a.m. |
| NEDg | Description generation | batch_69de271ca4f081908d78a20b25ebd25c |
completed | April 14, 2026, 11:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69de2ccee0cc8190acd24d5c225f7cde |
completed | April 14, 2026, 12:02 p.m. |
Created at: April 8, 2026, 9:14 p.m.