Triple
T14372232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samsung |
E356383
|
entity |
| Predicate | hasKeyPerson |
P256
|
FINISHED |
| Object | Lee Jae-yong |
E1095369
|
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: Lee Jae-yong | Statement: [Samsung, hasKeyPerson, Lee Jae-yong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lee Jae-yong Context triple: [Samsung, hasKeyPerson, Lee Jae-yong]
-
A.
Lee Jae-yong
chosen
Lee Jae-yong is a South Korean business executive best known as the de facto leader and executive chairman of Samsung Group.
-
B.
South Korean entrepreneur Lee Byung-chul
Lee Byung-chul was a pioneering South Korean entrepreneur best known as the founder of Samsung, which he built into one of the world's largest and most influential conglomerates.
-
C.
이건희
이건희는 삼성그룹을 세계적인 전자·IT 기업으로 성장시킨 대한민국의 대표적인 기업가이자 경영자이다.
-
D.
Kim Jung-soo
Kim Jung-soo is a South Korean architect best known for designing the National Assembly Building in Seoul.
-
E.
Chung Sun-man
Chung Sun-man is a South Korean athlete best known for lighting the Olympic cauldron at the opening ceremony of the 1988 Seoul Summer Olympics.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8fb2082c8190b42cc5f2bab4f574 |
completed | April 14, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd648135188190af86b1b2be2fe0e0 |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 10, 2026, 1:15 a.m.