Triple
T20387089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cho |
E497986
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Cho Mi-yeon
Cho Mi-yeon is a South Korean singer and actress best known as the main vocalist of the K-pop girl group (G)I-DLE.
|
E1474247
|
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 Mi-yeon | Statement: [Cho, hasNotableBearer, Cho Mi-yeon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cho Mi-yeon Context triple: [Cho, hasNotableBearer, Cho Mi-yeon]
-
A.
Cho Hee-yeon
Cho Hee-yeon is a South Korean educator and academic known for serving as the superintendent of the Seoul Metropolitan Office of Education.
-
B.
Jung Yu-mi
Jung Yu-mi is a South Korean actress known for her versatile performances in acclaimed films and television dramas such as "Train to Busan," "The Crucible," and "Discovery of Love."
-
C.
Lee Yoo-mi
Lee Yoo-mi is a South Korean actress best known internationally for her breakout role in the Netflix series "Squid Game."
-
D.
Koh Hyun-jung
Koh Hyun-jung is a prominent South Korean actress and former Miss Korea runner-up, known for her acclaimed roles in television dramas and films.
-
E.
Cho Ah-in
Cho Ah-in is a South Korean actress known for her roles in contemporary Korean television dramas and films.
- 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 Mi-yeon Triple: [Cho, hasNotableBearer, Cho Mi-yeon]
Generated description
Cho Mi-yeon is a South Korean singer and actress best known as the main vocalist of the K-pop girl group (G)I-DLE.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cho Mi-yeon Target entity description: Cho Mi-yeon is a South Korean singer and actress best known as the main vocalist of the K-pop girl group (G)I-DLE.
-
A.
Cho Hee-yeon
Cho Hee-yeon is a South Korean educator and academic known for serving as the superintendent of the Seoul Metropolitan Office of Education.
-
B.
Jung Yu-mi
Jung Yu-mi is a South Korean actress known for her versatile performances in acclaimed films and television dramas such as "Train to Busan," "The Crucible," and "Discovery of Love."
-
C.
Lee Yoo-mi
Lee Yoo-mi is a South Korean actress best known internationally for her breakout role in the Netflix series "Squid Game."
-
D.
Koh Hyun-jung
Koh Hyun-jung is a prominent South Korean actress and former Miss Korea runner-up, known for her acclaimed roles in television dramas and films.
-
E.
Cho Ah-in
Cho Ah-in is a South Korean actress known for her roles in contemporary Korean television dramas and films.
- 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_6a098fdc7d208190abc6bfc0b0c1db22 |
completed | May 17, 2026, 9:52 a.m. |
| NEDg | Description generation | batch_6a0991348c448190901e34167e40df69 |
completed | May 17, 2026, 9:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0991aaae5c8190b7ada4d60f2d875a |
completed | May 17, 2026, 10 a.m. |
Created at: April 16, 2026, 11:28 a.m.