Triple
T22703265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kyung Hee University |
E561377
|
entity |
| Predicate | hasAlumnus |
P51
|
FINISHED |
| Object | G-Dragon |
—
|
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: G-Dragon | Statement: [Kyung Hee University, hasAlumnus, G-Dragon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: G-Dragon Context triple: [Kyung Hee University, hasAlumnus, G-Dragon]
-
A.
G-Dragon
chosen
G-Dragon is a South Korean rapper, singer-songwriter, producer, and fashion icon best known as the leader of the K-pop group BIGBANG and a pioneering figure in modern K-pop.
-
B.
Jeonha
Jeonha is an honorific title historically used in Korea to address the reigning King of Joseon with utmost respect and reverence.
-
C.
J-Kwon
J-Kwon is an American rapper best known for his 2004 hit single "Tipsy."
-
D.
Jinyoung
Jinyoung is a South Korean singer and actor known for his work in K-pop group GOT7 and various film and television roles.
-
E.
Cho Yong-hyung
Cho Yong-hyung is a South Korean former professional footballer known for his role as a central defender and his appearances with the South Korean national team, including at the FIFA World Cup.
- 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_69e2454e615481909c177440be559d2c |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f178cbf5788190bc8cd1bc71a861e5 |
completed | April 29, 2026, 3:19 a.m. |
Created at: April 17, 2026, 3:16 p.m.