Triple
T19449537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Seonjo of Joseon |
E486577
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Yi |
—
|
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: Yi | Statement: [King Seonjo of Joseon, familyName, Yi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yi Context triple: [King Seonjo of Joseon, familyName, Yi]
-
A.
Yi
The Yi are one of China’s largest ethnic minority groups, with a distinct Tibeto-Burman language, traditional dress, and rich folk culture concentrated mainly in the mountainous regions of southwest China.
-
B.
Yi
Yi is a common Chinese given name shared by numerous historical and contemporary figures across politics, arts, and other fields.
-
C.
Yi
chosen
Yi is the royal family name of Korea’s last ruling dynasty, the Joseon (and later Korean Empire) royal house.
-
D.
Yi Pu
Yi Pu is a historic classical Chinese garden in Suzhou, China, renowned for its intimate scale, traditional landscaping, and Ming–Qing dynasty architectural features.
-
E.
Taegwan
Taegwan is a town and county-level city in North Pyongan Province in northwestern North Korea.
- 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6338caeb48190aeb1d511996984e3 |
completed | April 20, 2026, 2:09 p.m. |
Created at: April 10, 2026, 1:38 p.m.