Triple
T20387101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cho |
E497986
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Cho Yoon-woo
Cho Yoon-woo is a South Korean actor known for his roles in television dramas and films.
|
E1550960
|
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 Yoon-woo | Statement: [Cho, hasNotableBearer, Cho Yoon-woo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cho Yoon-woo Context triple: [Cho, hasNotableBearer, Cho Yoon-woo]
-
A.
Cho Seung-woo
Cho Seung-woo is a South Korean actor and musical theatre star known for his acclaimed performances in films like "Marathon" and "Tazza: The High Rollers" and in numerous hit stage productions.
-
B.
Cho Hyun-woo
Cho Hyun-woo is a South Korean professional football goalkeeper known for his performances with the national team, particularly at the 2018 FIFA World Cup.
-
C.
Yoo Yeon-seok
Yoo Yeon-seok is a South Korean actor known for his versatile performances in television dramas and films, gaining widespread popularity through prominent medical and romantic roles.
-
D.
Jeong Woo-sung
Jeong Woo-sung is a South Korean actor, director, and producer known for his leading roles in films such as "The Good, the Bad, the Weird" and "A Moment to Remember."
-
E.
Jo Woo-jin
Jo Woo-jin is a South Korean actor known for his versatile supporting and character roles in films and television dramas.
- 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 Yoon-woo Triple: [Cho, hasNotableBearer, Cho Yoon-woo]
Generated description
Cho Yoon-woo is a South Korean actor known for his roles in television dramas and films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cho Yoon-woo Target entity description: Cho Yoon-woo is a South Korean actor known for his roles in television dramas and films.
-
A.
Cho Seung-woo
Cho Seung-woo is a South Korean actor and musical theatre star known for his acclaimed performances in films like "Marathon" and "Tazza: The High Rollers" and in numerous hit stage productions.
-
B.
Cho Hyun-woo
Cho Hyun-woo is a South Korean professional football goalkeeper known for his performances with the national team, particularly at the 2018 FIFA World Cup.
-
C.
Yoo Yeon-seok
Yoo Yeon-seok is a South Korean actor known for his versatile performances in television dramas and films, gaining widespread popularity through prominent medical and romantic roles.
-
D.
Jeong Woo-sung
Jeong Woo-sung is a South Korean actor, director, and producer known for his leading roles in films such as "The Good, the Bad, the Weird" and "A Moment to Remember."
-
E.
Jo Woo-jin
Jo Woo-jin is a South Korean actor known for his versatile supporting and character roles in films and television dramas.
- 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_6a0b7eb6652c8190b446193ff8a0dd9c |
completed | May 18, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_6a0b834f488c8190bee40bd1caea0e40 |
completed | May 18, 2026, 9:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b8717b65c819089d29c1802d1ed55 |
completed | May 18, 2026, 9:39 p.m. |
Created at: April 16, 2026, 11:28 a.m.