Triple
T19516447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emperor Gojong of Korea |
E488289
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Yi Myeong-bok |
—
|
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 Myeong-bok | Statement: [Emperor Gojong of Korea, birthName, Yi Myeong-bok]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yi Myeong-bok Context triple: [Emperor Gojong of Korea, birthName, Yi Myeong-bok]
-
A.
Yi Myeong-bok
chosen
Yi Myeong-bok was the birth name of Gojong, the 26th king of Joseon and first emperor of the Korean Empire.
-
B.
Yi Myŏngbak
Yi Myŏngbak is a South Korean businessman-turned-politician who served as the country's president from 2008 to 2013.
-
C.
Yi Bang-won
Yi Bang-won, better known by his temple name King Taejong of Joseon, was the third king of the Joseon Dynasty who consolidated royal authority and laid crucial administrative foundations for early Joseon Korea.
-
D.
Ahn Byung-mu
Ahn Byung-mu was a South Korean theologian and biblical scholar who became a leading figure in developing Minjung theology, a movement emphasizing the liberation and lived experiences of oppressed people.
-
E.
Suh Yongsun
Suh Yongsun is a South Korean contemporary painter known for his expressive, often somber depictions of urban life and human figures.
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6359ca7648190804c4d655170fda3 |
completed | April 20, 2026, 2:18 p.m. |
Created at: April 10, 2026, 1:40 p.m.