Triple
T17075276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hung Kam-bo |
E414330
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Jo Yun-ok |
E425665
|
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: Jo Yun-ok | Statement: [Hung Kam-bo, spouse, Jo Yun-ok]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jo Yun-ok Context triple: [Hung Kam-bo, spouse, Jo Yun-ok]
-
A.
Jo Yun-ok
chosen
Jo Yun-ok is the wife of renowned Hong Kong martial artist, actor, and film director Sammo Hung.
-
B.
Kim Ok-yun
Kim Ok-yun was the wife of Yun Posun, the second President of South Korea.
-
C.
Lee Hae-jin
Lee Hae-jin is a South Korean entrepreneur and technologist best known as the founder and longtime leader of internet giant Naver Corporation.
-
D.
Kim Yoon-ok
Kim Yoon-ok is the former First Lady of South Korea, known primarily as the wife of ex-president Lee Myung-bak.
-
E.
Jang Hye-jin
Jang Hye-jin is a South Korean actress best known internationally for her role as the resourceful housekeeper in the Academy Award–winning film "Parasite."
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbc47808819088a4ca039689b213 |
completed | April 18, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0139f5d34081908bd9e88fb5772ddc |
completed | May 11, 2026, 2:07 a.m. |
Created at: April 10, 2026, 5:34 a.m.