Triple
T6061238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yuna Kim |
E135035
|
entity |
| Predicate | coach |
P2169
|
FINISHED |
| Object |
Shin Hye-sook
Shin Hye-sook is a South Korean figure skating coach best known for working with Olympic champion Yuna Kim during her early development.
|
E578533
|
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: Shin Hye-sook | Statement: [Yuna Kim, coach, Shin Hye-sook]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shin Hye-sook Context triple: [Yuna Kim, coach, Shin Hye-sook]
-
A.
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.
-
B.
Ban Hyun-hee
Ban Hyun-hee is a child of Yoo Soon-taek, who is known as the spouse of former UN Secretary-General Ban Ki-moon.
-
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.
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.
-
E.
Jo Yun-ok
Jo Yun-ok is the wife of renowned Hong Kong martial artist, actor, and film director Sammo Hung.
- 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: Shin Hye-sook Triple: [Yuna Kim, coach, Shin Hye-sook]
Generated description
Shin Hye-sook is a South Korean figure skating coach best known for working with Olympic champion Yuna Kim during her early development.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shin Hye-sook Target entity description: Shin Hye-sook is a South Korean figure skating coach best known for working with Olympic champion Yuna Kim during her early development.
-
A.
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.
-
B.
Ban Hyun-hee
Ban Hyun-hee is a child of Yoo Soon-taek, who is known as the spouse of former UN Secretary-General Ban Ki-moon.
-
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.
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.
-
E.
Jo Yun-ok
Jo Yun-ok is the wife of renowned Hong Kong martial artist, actor, and film director Sammo Hung.
- 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_69c00878d06881909ee78e88913bf890 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0571fcecc8190a68e0d0668bbbfa7 |
completed | March 22, 2026, 8:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c20d4499dc8190943486cf1af83f0a |
completed | March 24, 2026, 4:04 a.m. |
| NEDg | Description generation | batch_69c2139588288190b25f5c5b148f0e9e |
completed | March 24, 2026, 4:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c214ee18608190ab937b868f979a66 |
completed | March 24, 2026, 4:37 a.m. |
Created at: March 22, 2026, 4:10 p.m.