Triple
T6904157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kim Jong Chol |
E159565
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Kim Jong Suk |
E24921
|
NE FINISHED |
How this triple was built (2 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: Kim Jong Suk | Statement: [Kim Jong Chol, relative, Kim Jong Suk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kim Jong Suk Context triple: [Kim Jong Chol, relative, Kim Jong Suk]
-
A.
Kim Jong-suk
chosen
Kim Jong-suk was a Korean anti-Japanese guerrilla fighter and revered North Korean revolutionary figure, celebrated as the first wife of Kim Il Sung and mother of Kim Jong Il.
-
B.
Kim Jung-soo
Kim Jung-soo is a South Korean architect best known for designing the National Assembly Building in Seoul.
-
C.
Jang Kum-song
Jang Kum-song was the daughter of senior North Korean official Kim Kyong-hui and thus a member of North Korea’s ruling Kim family.
-
D.
Jang Deok-su
Jang Deok-su is a brutal, debt-ridden gangster who serves as one of the primary antagonists in the South Korean survival drama series "Squid Game."
-
E.
Lee Yong-ik
Lee Yong-ik was a prominent Korean educator and nationalist who played a key role in modernizing education in Korea and helped establish Korea University as a leading institution of higher learning.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c6883822e0819091e321526f20ae0a |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d989c13081908a2e346cde9e3a50 |
completed | March 27, 2026, 7:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c75124cab88190a1510d77ed61c945 |
completed | March 28, 2026, 3:55 a.m. |
Created at: March 27, 2026, 2:25 p.m.