Triple
T18951965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suh |
E463676
|
entity |
| Predicate | notableBearer |
P458
|
FINISHED |
| Object |
Suh Kyung-bae
Suh Kyung-bae is a South Korean billionaire businessman best known as the chairman of Amorepacific Corporation, one of Asia’s leading cosmetics companies.
|
E1360613
|
NE FINISHED |
How this triple was built (4 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: Suh Kyung-bae | Statement: [Suh, notableBearer, Suh Kyung-bae]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suh Kyung-bae Context triple: [Suh, notableBearer, Suh Kyung-bae]
-
A.
Suh Jin-suk
Suh Jin-suk is a notable individual who prominently bears the Korean surname Suh.
-
B.
Jung Jang-seon
Jung Jang-seon is a South Korean politician serving as the mayor of the city of Pyeongtaek.
-
C.
Paik Sun-yup
Paik Sun-yup was a South Korean army general renowned for his pivotal leadership during the Korean War and for helping to modernize South Korea’s armed forces.
-
D.
Kwak Sin-ae
Kwak Sin-ae is a South Korean film producer best known for producing the Academy Award–winning film "Parasite."
-
E.
Kang Sae-byeok
Kang Sae-byeok is a North Korean defector and pickpocket who becomes one of the central, emotionally resonant contestants in the deadly survival competition of the South Korean series "Squid Game."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Suh Kyung-bae Triple: [Suh, notableBearer, Suh Kyung-bae]
Generated description
Suh Kyung-bae is a South Korean billionaire businessman best known as the chairman of Amorepacific Corporation, one of Asia’s leading cosmetics companies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Suh Kyung-bae Target entity description: Suh Kyung-bae is a South Korean billionaire businessman best known as the chairman of Amorepacific Corporation, one of Asia’s leading cosmetics companies.
-
A.
Suh Jin-suk
Suh Jin-suk is a notable individual who prominently bears the Korean surname Suh.
-
B.
Jung Jang-seon
Jung Jang-seon is a South Korean politician serving as the mayor of the city of Pyeongtaek.
-
C.
Paik Sun-yup
Paik Sun-yup was a South Korean army general renowned for his pivotal leadership during the Korean War and for helping to modernize South Korea’s armed forces.
-
D.
Kwak Sin-ae
Kwak Sin-ae is a South Korean film producer best known for producing the Academy Award–winning film "Parasite."
-
E.
Kang Sae-byeok
Kang Sae-byeok is a North Korean defector and pickpocket who becomes one of the central, emotionally resonant contestants in the deadly survival competition of the South Korean series "Squid Game."
- F. None of above. chosen
Provenance (5 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_69d8dcffc278819086792a4ebfddfafa |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d54385e08190903a054681352d11 |
completed | April 20, 2026, 7:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a06f23b6be481908636b5b48066364d |
completed | May 15, 2026, 10:15 a.m. |
| NEDg | Description generation | batch_6a06f303c4fc8190a9a972dd1561bc84 |
completed | May 15, 2026, 10:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a06f4039ca881908679e5da604eea50 |
completed | May 15, 2026, 10:22 a.m. |
Created at: April 10, 2026, noon