Triple
T14372233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samsung |
E356383
|
entity |
| Predicate | hasKeyPerson |
P256
|
FINISHED |
| Object | Lee Kun-hee |
E356380
|
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 Kun-hee | Statement: [Samsung, hasKeyPerson, Lee Kun-hee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lee Kun-hee Context triple: [Samsung, hasKeyPerson, Lee Kun-hee]
-
A.
Lee Kun-hee
chosen
Lee Kun-hee was a South Korean business magnate best known for transforming Samsung into one of the world’s leading technology and electronics conglomerates during his tenure as its chairman.
-
B.
Ban Hyun-hee
Ban Hyun-hee is a child of Yoo Soon-taek, who is known as the spouse of former UN Secretary-General Ban Ki-moon.
-
C.
Kim Young Sook
Kim Young Sook is a North Korean woman best known as one of the wives of former North Korean leader Kim Jong Il.
-
D.
Park Sun-hui
Park Sun-hui was the wife of Chang Myon, a prominent South Korean politician and former Prime Minister.
-
E.
Son Ki-jung
Son Ki-jung was a Korean marathon runner who won the gold medal at the 1936 Berlin Olympics while competing for Japan under the name Son Kee-chung.
- 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.