Triple
T13061974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kitack Lim |
E329219
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Kitack Lim |
E64585
|
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: Kitack Lim | Statement: [Kitack Lim, name, Kitack Lim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kitack Lim Context triple: [Kitack Lim, name, Kitack Lim]
-
A.
Kitack Lim
chosen
Kitack Lim is a South Korean maritime administrator and diplomat who served as Secretary-General of the International Maritime Organization, the United Nations agency responsible for regulating global shipping.
-
B.
Kyoungwon Lim
Kyoungwon Lim is a film producer best known for working on the animated feature "The Nut Job."
-
C.
Hong Kim
Hong Kim is a film producer known for working on the animated feature "The Nut Job."
-
D.
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.
-
E.
SangYup Lee
SangYup Lee is a prominent South Korean automobile designer known for leading Hyundai’s global design direction, including acclaimed models like the Ioniq 5.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980e7ee548190b4b18bdb1357c359 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbe45c8c819080fbdf1d94376feb |
completed | May 3, 2026, 4:15 a.m. |
Created at: April 9, 2026, 8:59 p.m.