Triple
T8871970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naong Hyegeun |
E211177
|
entity |
| Predicate | knownAs |
P39
|
FINISHED |
| Object | Hyegeun |
E211177
|
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: Hyegeun | Statement: [Naong Hyegeun, knownAs, Hyegeun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hyegeun Context triple: [Naong Hyegeun, knownAs, Hyegeun]
-
A.
Seonghwan
Seonghwan is a locality in South Korea historically noted as the site of the Battle of Seonghwan during the First Sino-Japanese War.
-
B.
Jinhae
Jinhae is a coastal district in Changwon, South Korea, best known for its large naval base and famous annual cherry blossom festival.
-
C.
Naong Hyegeun
chosen
Naong Hyegeun was a prominent Korean Buddhist monk and reformer of the Goryeo dynasty, known for revitalizing Seon (Zen) Buddhism and establishing important temples.
-
D.
Jeonghan
Jeonghan is a South Korean singer best known as a vocalist and visual member of the K-pop boy group Seventeen.
-
E.
Seungkwan
Seungkwan is a South Korean singer and main vocalist of the K-pop boy group Seventeen, known for his powerful vocals, variety show presence, and bright personality.
- 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_69ca838e78748190934d82db3104f855 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc61281e888190a32b08980310979f |
completed | April 1, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa0f1f1888190a5b514b895e44799 |
completed | April 3, 2026, 11:13 a.m. |
Created at: March 30, 2026, 6:51 p.m.