Triple
T17831644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yong-taek Jung |
E445270
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | 정 |
—
|
NE NERFINISHED |
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: 정 | Statement: [Yong-taek Jung, familyName, 정]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 정 Context triple: [Yong-taek Jung, familyName, 정]
-
A.
kenjeong
Ken Jeong is an American comedian, actor, and former physician best known for his roles in "The Hangover" film series and the TV show "Community."
-
B.
Jejueo
Jejueo is a Koreanic language variety traditionally spoken on South Korea’s Jeju Island, recognized by many linguists as distinct from standard Korean.
-
C.
Yong Saetae
Yong Saetae was a wealthy Chinese-Thai merchant in 18th-century Siam best known as the father of King Taksin, the founder of the Thonburi Kingdom.
-
D.
Jeong
Jeong is a Korean given name commonly used for both males and females, often associated with meanings related to affection, virtue, or righteousness depending on the hanja used.
-
E.
Jeong
chosen
Jeong is the Korean family name of Ken Jeong, the American comedian, actor, and physician known for roles in "The Hangover" series and the TV show "Community."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48d248ecc8190b3f0d001b539d960 |
completed | April 19, 2026, 8:07 a.m. |
Created at: April 10, 2026, 10:15 a.m.