Triple
T20387083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cho |
E497986
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Cho U-ryun
Cho U-ryun is a notable individual bearing the Korean surname Cho, recognized for contributions significant enough to be distinctly recorded under this name.
|
E1427496
|
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 U-ryun | Statement: [Cho, hasNotableBearer, Cho U-ryun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cho U-ryun Context triple: [Cho, hasNotableBearer, Cho U-ryun]
-
A.
Woncheuk
Woncheuk was a 7th-century Korean Buddhist monk and scholar renowned for his influential commentaries on Yogācāra and Huayan doctrines in Tang China.
-
B.
Jinwicheon
Jinwicheon is a river flowing through the city of Pyeongtaek in South Korea.
-
C.
Yo-jong
Yo-jong is a North Korean political figure best known as the influential sister of leader Kim Jong-un and a senior official in the ruling Workers’ Party of Korea.
-
D.
Yong-gi
Yong-gi is a Korean given name commonly used for males.
-
E.
Yongdam Yusa
Yongdam Yusa is a key scripture of the Donghak (Eastern Learning) movement, compiling the teachings, songs, and revelations of its founder Choe Je-u.
- 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 U-ryun Triple: [Cho, hasNotableBearer, Cho U-ryun]
Generated description
Cho U-ryun is a notable individual bearing the Korean surname Cho, recognized for contributions significant enough to be distinctly recorded under this name.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cho U-ryun Target entity description: Cho U-ryun is a notable individual bearing the Korean surname Cho, recognized for contributions significant enough to be distinctly recorded under this name.
-
A.
Woncheuk
Woncheuk was a 7th-century Korean Buddhist monk and scholar renowned for his influential commentaries on Yogācāra and Huayan doctrines in Tang China.
-
B.
Jinwicheon
Jinwicheon is a river flowing through the city of Pyeongtaek in South Korea.
-
C.
Yo-jong
Yo-jong is a North Korean political figure best known as the influential sister of leader Kim Jong-un and a senior official in the ruling Workers’ Party of Korea.
-
D.
Yong-gi
Yong-gi is a Korean given name commonly used for males.
-
E.
Yongdam Yusa
Yongdam Yusa is a key scripture of the Donghak (Eastern Learning) movement, compiling the teachings, songs, and revelations of its founder Choe Je-u.
- 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_6a08761fdb8481908a4b9975c96aade9 |
completed | May 16, 2026, 1:50 p.m. |
| NEDg | Description generation | batch_6a0876b11c248190aefac57c32293ff0 |
completed | May 16, 2026, 1:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08772501e08190b6c104b3270cf2da |
completed | May 16, 2026, 1:54 p.m. |
Created at: April 16, 2026, 11:28 a.m.