Triple
T7369758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ko Yong Hui |
E169966
|
entity |
| Predicate | alternateName |
P39
|
FINISHED |
| Object |
Ko Young-hee
Ko Young-hee was a North Korean dancer best known as the consort of leader Kim Jong Il and the mother of current leader Kim Jong Un.
|
E663118
|
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: Ko Young-hee | Statement: [Ko Yong Hui, alternateName, Ko Young-hee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ko Young-hee Context triple: [Ko Yong Hui, alternateName, Ko Young-hee]
-
A.
Koo Cha-kyung
Koo Cha-kyung was a South Korean businessman who led and expanded the LG Group as its second chairman, transforming it into a major global conglomerate.
-
B.
Kwak Sin-ae
Kwak Sin-ae is a South Korean film producer best known for producing the Academy Award–winning film "Parasite."
-
C.
Lee Maeng-hee
Lee Maeng-hee was a South Korean businessman best known as the eldest son of Samsung founder Lee Byung-chul and a former executive within the Samsung Group.
-
D.
Jung Sun-young
Jung Sun-young is the wife of acclaimed South Korean film director Bong Joon-ho.
-
E.
Cha Jeong-in
Cha Jeong-in is a South Korean academic who serves as the president of Pusan National University.
- 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: Ko Young-hee Triple: [Ko Yong Hui, alternateName, Ko Young-hee]
Generated description
Ko Young-hee was a North Korean dancer best known as the consort of leader Kim Jong Il and the mother of current leader Kim Jong Un.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ko Young-hee Target entity description: Ko Young-hee was a North Korean dancer best known as the consort of leader Kim Jong Il and the mother of current leader Kim Jong Un.
-
A.
Koo Cha-kyung
Koo Cha-kyung was a South Korean businessman who led and expanded the LG Group as its second chairman, transforming it into a major global conglomerate.
-
B.
Kwak Sin-ae
Kwak Sin-ae is a South Korean film producer best known for producing the Academy Award–winning film "Parasite."
-
C.
Lee Maeng-hee
Lee Maeng-hee was a South Korean businessman best known as the eldest son of Samsung founder Lee Byung-chul and a former executive within the Samsung Group.
-
D.
Jung Sun-young
Jung Sun-young is the wife of acclaimed South Korean film director Bong Joon-ho.
-
E.
Cha Jeong-in
Cha Jeong-in is a South Korean academic who serves as the president of Pusan National University.
- 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_69c68a5ade988190885b7175f63b7534 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1810668819094aec4b237d08068 |
completed | March 27, 2026, 9:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81ec60d8481908e1e94ad87529a51 |
completed | March 28, 2026, 6:32 p.m. |
| NEDg | Description generation | batch_69c81f730ac081908c9d98643c130d6d |
completed | March 28, 2026, 6:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c821071a208190958f4cb7ad903fa6 |
completed | March 28, 2026, 6:42 p.m. |
Created at: March 27, 2026, 3:07 p.m.