Triple
T20387080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cho |
E497986
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
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.
|
E1467143
|
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 Hee-yeon | Statement: [Cho, hasNotableBearer, Cho Hee-yeon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cho Hee-yeon Context triple: [Cho, hasNotableBearer, Cho Hee-yeon]
-
A.
Cho Yeo-jeong
Cho Yeo-jeong is a South Korean actress best known internationally for her role as the wealthy Park family mother in the Academy Award–winning film "Parasite."
-
B.
Kim So-yeon
Kim So-yeon, better known as Soyeon Schröder-Kim, is a South Korean-born interpreter who is publicly known as the wife of former German Chancellor Gerhard Schröder.
-
C.
Cho Hyun-ah
Cho Hyun-ah is a South Korean businesswoman and former Korean Air executive widely known for her involvement in the 2014 "nut rage" incident that led to her resignation and legal consequences.
-
D.
Jeong Ji-hyun
Jeong Ji-hyun is a Korean individual whose name is romanized from the Korean name Ji-hyun Jung.
-
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 Hee-yeon Triple: [Cho, hasNotableBearer, Cho Hee-yeon]
Generated description
Cho Hee-yeon is a South Korean educator and academic known for serving as the superintendent of the Seoul Metropolitan Office of Education.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cho Hee-yeon Target entity description: Cho Hee-yeon is a South Korean educator and academic known for serving as the superintendent of the Seoul Metropolitan Office of Education.
-
A.
Cho Yeo-jeong
Cho Yeo-jeong is a South Korean actress best known internationally for her role as the wealthy Park family mother in the Academy Award–winning film "Parasite."
-
B.
Kim So-yeon
Kim So-yeon, better known as Soyeon Schröder-Kim, is a South Korean-born interpreter who is publicly known as the wife of former German Chancellor Gerhard Schröder.
-
C.
Cho Hyun-ah
Cho Hyun-ah is a South Korean businesswoman and former Korean Air executive widely known for her involvement in the 2014 "nut rage" incident that led to her resignation and legal consequences.
-
D.
Jeong Ji-hyun
Jeong Ji-hyun is a Korean individual whose name is romanized from the Korean name Ji-hyun Jung.
-
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_6a0965ca320c81909be85a783b0fc6ca |
completed | May 17, 2026, 6:52 a.m. |
| NEDg | Description generation | batch_6a096674c3a48190b0263c3b946495a9 |
completed | May 17, 2026, 6:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0966fcfd508190b3785910dd27112d |
completed | May 17, 2026, 6:58 a.m. |
Created at: April 16, 2026, 11:28 a.m.