Triple
T5859948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jung Ho-yeon |
E130249
|
entity |
| Predicate | partner |
P1136
|
FINISHED |
| Object |
Lee Dong-hwi
Lee Dong-hwi is a South Korean actor known for his roles in popular films and television dramas, including the hit series "Reply 1988."
|
E570494
|
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: Lee Dong-hwi | Statement: [Jung Ho-yeon, partner, Lee Dong-hwi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lee Dong-hwi Context triple: [Jung Ho-yeon, partner, Lee Dong-hwi]
-
A.
Kim Je-hyuk
Kim Je-hyuk is the naive yet kindhearted star baseball player who becomes an unlikely inmate protagonist in the South Korean television drama "Prison Playbook."
-
B.
Ban Woo-hyun
Ban Woo-hyun is one of the children of former UN Secretary-General Ban Ki-moon and his wife Yoo Soon-taek.
-
C.
Jang Young-hwan
Jang Young-hwan is a South Korean film producer best known for his work on the Academy Award–winning film "Parasite."
-
D.
Lee Byung-chul
Lee Byung-chul was a South Korean entrepreneur and industrialist best known as the founder of the Samsung business empire, which grew into one of the world’s largest conglomerates.
-
E.
Koo In-hwoi
Koo In-hwoi was a South Korean entrepreneur who built one of the country’s leading chaebols, the LG Group, helping pioneer its modern electronics and chemical industries.
- 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: Lee Dong-hwi Triple: [Jung Ho-yeon, partner, Lee Dong-hwi]
Generated description
Lee Dong-hwi is a South Korean actor known for his roles in popular films and television dramas, including the hit series "Reply 1988."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lee Dong-hwi Target entity description: Lee Dong-hwi is a South Korean actor known for his roles in popular films and television dramas, including the hit series "Reply 1988."
-
A.
Kim Je-hyuk
Kim Je-hyuk is the naive yet kindhearted star baseball player who becomes an unlikely inmate protagonist in the South Korean television drama "Prison Playbook."
-
B.
Ban Woo-hyun
Ban Woo-hyun is one of the children of former UN Secretary-General Ban Ki-moon and his wife Yoo Soon-taek.
-
C.
Jang Young-hwan
Jang Young-hwan is a South Korean film producer best known for his work on the Academy Award–winning film "Parasite."
-
D.
Lee Byung-chul
Lee Byung-chul was a South Korean entrepreneur and industrialist best known as the founder of the Samsung business empire, which grew into one of the world’s largest conglomerates.
-
E.
Koo In-hwoi
Koo In-hwoi was a South Korean entrepreneur who built one of the country’s leading chaebols, the LG Group, helping pioneer its modern electronics and chemical industries.
- 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_69c0084f3bb08190a7720f55f7aa4252 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0358790b88190a5e3c6473172dc53 |
completed | March 22, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c13540fa788190a09a509267bdb147 |
completed | March 23, 2026, 12:42 p.m. |
| NEDg | Description generation | batch_69c137c122d4819089c6ffc2e0cbaf54 |
completed | March 23, 2026, 12:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c138247e2c8190b6c2aabbd36ad9c0 |
completed | March 23, 2026, 12:55 p.m. |
Created at: March 22, 2026, 3:56 p.m.