Triple
T20588459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Later Baekje |
E505849
|
entity |
| Predicate | ruler |
P403
|
FINISHED |
| Object | Gyeon Hwon |
—
|
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: Gyeon Hwon | Statement: [Later Baekje, ruler, Gyeon Hwon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gyeon Hwon Context triple: [Later Baekje, ruler, Gyeon Hwon]
-
A.
Gyeon Hwon
chosen
Gyeon Hwon was a 10th-century Korean warlord and monarch who established and ruled the Later Baekje kingdom during the Later Three Kingdoms period.
-
B.
Jeong Seon
Jeong Seon was a prominent Korean painter of the Joseon dynasty, renowned for pioneering a distinctive style of true-view landscape painting based on actual Korean scenery.
-
C.
Yong-gi
Yong-gi is a Korean given name commonly used for males.
-
D.
Wang Jeon
Wang Jeon, better known by his temple name Emperor Gongmin, was a 14th-century king of Korea’s Goryeo dynasty noted for efforts to reform government and resist Mongol influence.
-
E.
Jinwicheon
Jinwicheon is a river flowing through the city of Pyeongtaek in South 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_69e0b4b9669c8190b8e81fc72817d42c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a9790cc08190b48949834cd421d2 |
completed | April 20, 2026, 10:32 p.m. |
Created at: April 16, 2026, 11:40 a.m.