Triple
T10730582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lee Myung-bak |
E253061
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | 이명박 |
E253061
|
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: 이명박 | Statement: [Lee Myung-bak, nativeName, 이명박]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 이명박 Context triple: [Lee Myung-bak, nativeName, 이명박]
-
A.
Lee Myung-bak
chosen
Lee Myung-bak is a South Korean businessman-turned-politician who served as the President of South Korea from 2008 to 2013.
-
B.
Roh Moo-hyun
Roh Moo-hyun was a South Korean human rights lawyer-turned-politician who served as the country’s president from 2003 to 2008, known for his reformist agenda and efforts to engage North Korea.
-
C.
정재일
정재일은 영화·드라마 음악과 실험적인 사운드로 잘 알려진 대한민국의 작곡가이자 음악감독, 프로듀서이다.
-
D.
김대중
김대중은 대한민국의 제15대 대통령으로, 민주화 운동과 남북 화해 정책(햇볕정책)을 주도해 노벨 평화상을 수상한 정치인이다.
-
E.
John Kim
John Kim is an Australian actor best known for his role as Ezekiel Jones in the fantasy-adventure television series "The Librarians."
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d70fcb1cd881909635def59ad5d19c |
completed | April 9, 2026, 2:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de22a97fec8190bb97f68353c2144e |
completed | April 14, 2026, 11:19 a.m. |
Created at: April 8, 2026, 9:14 p.m.