Triple
T20387079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cho |
E497986
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
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.
|
E1465688
|
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 Hyun-ah | Statement: [Cho, hasNotableBearer, Cho Hyun-ah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cho Hyun-ah Context triple: [Cho, hasNotableBearer, Cho Hyun-ah]
-
A.
Cho Ah-in
Cho Ah-in is a South Korean actress known for her roles in contemporary Korean television dramas and films.
-
B.
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.
-
C.
Jeong Ji-hyun
Jeong Ji-hyun is a Korean individual whose name is romanized from the Korean name Ji-hyun Jung.
-
D.
Min Hyo-rin
Min Hyo-rin is a South Korean actress, singer, and model known for her roles in films and television dramas as well as her work in the entertainment industry.
-
E.
Suh Ji-hyun
Suh Ji-hyun is a South Korean individual notable for bearing the Korean surname Suh.
- 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 Hyun-ah Triple: [Cho, hasNotableBearer, Cho Hyun-ah]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cho Hyun-ah Target entity description: 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.
-
A.
Cho Ah-in
Cho Ah-in is a South Korean actress known for her roles in contemporary Korean television dramas and films.
-
B.
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.
-
C.
Jeong Ji-hyun
Jeong Ji-hyun is a Korean individual whose name is romanized from the Korean name Ji-hyun Jung.
-
D.
Min Hyo-rin
Min Hyo-rin is a South Korean actress, singer, and model known for her roles in films and television dramas as well as her work in the entertainment industry.
-
E.
Suh Ji-hyun
Suh Ji-hyun is a South Korean individual notable for bearing the Korean surname Suh.
- 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_6a095a3e3f448190b06f8d189fb7dfc5 |
completed | May 17, 2026, 6:03 a.m. |
| NEDg | Description generation | batch_6a095ab1e4e08190ac86e53ccee269f3 |
completed | May 17, 2026, 6:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a095b71e4c08190a41566557503b9a8 |
completed | May 17, 2026, 6:08 a.m. |
Created at: April 16, 2026, 11:28 a.m.