Triple
T23404880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 오영수 |
E559607
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | 오영수 |
—
|
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: 오영수 | Statement: [오영수, name, 오영수]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 오영수 Context triple: [오영수, name, 오영수]
-
A.
오영수
chosen
오영수는 넷플릭스 드라마 「오징어 게임」에서의 노인 참가자 ‘오일남’ 역으로 세계적인 주목을 받은 대한민국의 배우이다.
-
B.
Koo Dae-sung
Koo Dae-sung is a South Korean former professional baseball pitcher known for his successful career in the KBO League, Nippon Professional Baseball, and Major League Baseball.
-
C.
Cho Kuk
Cho Kuk is a South Korean legal scholar and politician who briefly served as Minister of Justice and became a central figure in major national controversies over academic privilege and political reform.
-
D.
Shim Sung-bo
Shim Sung-bo is a South Korean film director and screenwriter best known for co-writing the acclaimed thriller "Memories of Murder" and directing the maritime drama "Sea Fog."
-
E.
Kim Young-sam
Kim Young-sam was a South Korean politician who served as the country’s president in the 1990s and is known for advancing democratic reforms and anti-corruption measures.
- 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_69e24549610c8190a069d6411ce5f661 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a4e27db88190b37375b38073291c |
completed | April 29, 2026, 6:27 a.m. |
Created at: April 17, 2026, 5:38 p.m.