Triple
T16692201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Euisun Chung |
E405621
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Euisun Chung |
E405621
|
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: Euisun Chung | Statement: [Euisun Chung, name, Euisun Chung]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Euisun Chung Context triple: [Euisun Chung, name, Euisun Chung]
-
A.
Euisun Chung
chosen
Euisun Chung is a South Korean business executive who serves as the chairman of Hyundai Motor Group, overseeing the global automotive and mobility conglomerate’s strategic direction and innovation.
-
B.
Kwanghun Chung
Kwanghun Chung is a neuroscientist and bioengineer known for pioneering advanced tissue-clearing and imaging techniques that enable high-resolution, three-dimensional visualization of biological tissues.
-
C.
Wookyung Jung
Wookyung Jung is a film producer best known for working on the animated feature "The Nut Job."
-
D.
Kyunghyun Cho
Kyunghyun Cho is a computer scientist and professor known for his influential work in deep learning and neural machine translation, including early contributions to encoder–decoder architectures and attention mechanisms.
-
E.
Jae-on Kim
Jae-on Kim is a political scientist known for his work on democratic participation and political equality.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37eaacb948190954231c9e97a4adf |
completed | April 18, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0091984dcc8190b0b20d2e57bc3a11 |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 5:19 a.m.