Triple
T5142010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Cho |
E115973
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object |
Cho Yo-han
Cho Yo-han is the Korean birth name of John Cho, a Korean American actor best known for his roles in the "Harold & Kumar" films and the "Star Trek" reboot series.
|
E516605
|
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 Yo-han | Statement: [John Cho, birthName, Cho Yo-han]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cho Yo-han Context triple: [John Cho, birthName, Cho Yo-han]
-
A.
Jung Ho-yeon
Jung Ho-yeon is a South Korean model-turned-actress who gained international fame for her breakout role in the Netflix survival drama series "Squid Game."
-
B.
Oh Se-hoon
Oh Se-hoon is a South Korean politician best known for serving multiple terms as the mayor of Seoul.
-
C.
Jang Young-hwan
Jang Young-hwan is a South Korean film producer best known for his work on the Academy Award–winning film "Parasite."
-
D.
Lee Yong-ik
Lee Yong-ik was a prominent Korean educator and nationalist who played a key role in modernizing education in Korea and helped establish Korea University as a leading institution of higher learning.
-
E.
Koo In-hwoi
Koo In-hwoi was a South Korean entrepreneur who built one of the country’s leading chaebols, the LG Group, helping pioneer its modern electronics and chemical industries.
- 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 Yo-han Triple: [John Cho, birthName, Cho Yo-han]
Generated description
Cho Yo-han is the Korean birth name of John Cho, a Korean American actor best known for his roles in the "Harold & Kumar" films and the "Star Trek" reboot series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cho Yo-han Target entity description: Cho Yo-han is the Korean birth name of John Cho, a Korean American actor best known for his roles in the "Harold & Kumar" films and the "Star Trek" reboot series.
-
A.
Jung Ho-yeon
Jung Ho-yeon is a South Korean model-turned-actress who gained international fame for her breakout role in the Netflix survival drama series "Squid Game."
-
B.
Oh Se-hoon
Oh Se-hoon is a South Korean politician best known for serving multiple terms as the mayor of Seoul.
-
C.
Jang Young-hwan
Jang Young-hwan is a South Korean film producer best known for his work on the Academy Award–winning film "Parasite."
-
D.
Lee Yong-ik
Lee Yong-ik was a prominent Korean educator and nationalist who played a key role in modernizing education in Korea and helped establish Korea University as a leading institution of higher learning.
-
E.
Koo In-hwoi
Koo In-hwoi was a South Korean entrepreneur who built one of the country’s leading chaebols, the LG Group, helping pioneer its modern electronics and chemical industries.
- 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_69bd44459a988190a772a5c2ec6a1965 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd787ff1c081909a6954aa76e12cbf |
completed | March 20, 2026, 4:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf330bc5c48190ad8ca1e413b6c68b |
completed | March 22, 2026, 12:08 a.m. |
| NEDg | Description generation | batch_69bf33b60cac8190b62210b23ce90d06 |
completed | March 22, 2026, 12:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf341dab94819095fe429560cdbbc5 |
completed | March 22, 2026, 12:13 a.m. |
Created at: March 20, 2026, 1:43 p.m.