Triple
T20387100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cho |
E497986
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Cho Sung-dal
Cho Sung-dal is a notable individual who bears the Korean surname Cho and is recognized for his prominence in Korean public life.
|
E1478206
|
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: Cho Sung-dal | Statement: [Cho, hasNotableBearer, Cho Sung-dal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cho Sung-dal Context triple: [Cho, hasNotableBearer, Cho Sung-dal]
-
A.
Kim Hyun-sook
Kim Hyun-sook is a South Korean actress known for her comedic and character roles in film, television, and theater.
-
B.
Lee Soon-ja
Lee Soon-ja is the widow of former South Korean president and military ruler Chun Doo-hwan and a prominent, often controversial, figure in South Korea's modern political history.
-
C.
Kwak Sin-ae
Kwak Sin-ae is a South Korean film producer best known for producing the Academy Award–winning film "Parasite."
-
D.
Jo Sung-hee
Jo Sung-hee is a South Korean film director and screenwriter known for his work in genre-blending films and large-scale science fiction cinema.
-
E.
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.
- 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: Cho Sung-dal Triple: [Cho, hasNotableBearer, Cho Sung-dal]
Generated description
Cho Sung-dal is a notable individual who bears the Korean surname Cho and is recognized for his prominence in Korean public life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cho Sung-dal Target entity description: Cho Sung-dal is a notable individual who bears the Korean surname Cho and is recognized for his prominence in Korean public life.
-
A.
Kim Hyun-sook
Kim Hyun-sook is a South Korean actress known for her comedic and character roles in film, television, and theater.
-
B.
Lee Soon-ja
Lee Soon-ja is the widow of former South Korean president and military ruler Chun Doo-hwan and a prominent, often controversial, figure in South Korea's modern political history.
-
C.
Kwak Sin-ae
Kwak Sin-ae is a South Korean film producer best known for producing the Academy Award–winning film "Parasite."
-
D.
Jo Sung-hee
Jo Sung-hee is a South Korean film director and screenwriter known for his work in genre-blending films and large-scale science fiction cinema.
-
E.
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.
- 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790c935881908f901d058e6a83a9 |
completed | April 20, 2026, 7:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09a5a2d128819081763172f6214e27 |
completed | May 17, 2026, 11:25 a.m. |
| NEDg | Description generation | batch_6a09a63fb6988190922458ad9e7b8a3a |
completed | May 17, 2026, 11:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09a696eabc8190936063b841039053 |
completed | May 17, 2026, 11:29 a.m. |
Created at: April 16, 2026, 11:28 a.m.