Triple
T9452144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ken Jeong |
E227918
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Jeong |
E232087
|
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: Jeong | Statement: [Ken Jeong, familyName, Jeong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeong Context triple: [Ken Jeong, familyName, Jeong]
-
A.
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."
-
B.
Jinwicheon
Jinwicheon is a river flowing through the city of Pyeongtaek in South Korea.
-
C.
Jang
Jang is a Korean surname shared by numerous individuals across Korea and the Korean diaspora.
-
D.
Jang
Jang is one of the small islands that make up Maloelap Atoll in the Republic of the Marshall Islands.
-
E.
Yo-jong
Yo-jong is a North Korean political figure best known as the influential sister of leader Kim Jong-un and a senior official in the ruling Workers’ Party of Korea.
- 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_69ca8439f8bc8190997f2ef40c9f0bc2 |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7f68f9b081908bee041d4fc77e57 |
completed | April 1, 2026, 8:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12272a2dc8190892a22db0799b6a4 |
completed | April 4, 2026, 2:38 p.m. |
Created at: March 30, 2026, 7:52 p.m.