Triple
T19116345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oh |
E467916
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Oh Jung-se
Oh Jung-se is a South Korean actor acclaimed for his versatile supporting and character roles in film and television dramas.
|
E1378142
|
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: Oh Jung-se | Statement: [Oh, hasNotableBearer, Oh Jung-se]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oh Jung-se Context triple: [Oh, hasNotableBearer, Oh Jung-se]
-
A.
Oh Jae-won
Oh Jae-won is a South Korean former professional baseball infielder who played in the KBO League, most notably for the Doosan Bears.
-
B.
Kim Dong-wook
Kim Dong-wook is a composer known for creating the musical score for the South Korean dark fantasy series "Hellbound."
-
C.
Min Kyung-ho
Min Kyung-ho is a Korean individual notable primarily for bearing the given name "Min."
-
D.
Jung Jae-young
Jung Jae-young is a South Korean actor known for his versatile performances in both critically acclaimed films and popular television dramas.
-
E.
Jin Kyeong-hun
Jin Kyeong-hun is a central character in the South Korean dark fantasy series "Hellbound," depicted as a determined detective entangled in the mysterious and terrifying supernatural decrees that suddenly begin condemning people to hell.
- 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: Oh Jung-se Triple: [Oh, hasNotableBearer, Oh Jung-se]
Generated description
Oh Jung-se is a South Korean actor acclaimed for his versatile supporting and character roles in film and television dramas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oh Jung-se Target entity description: Oh Jung-se is a South Korean actor acclaimed for his versatile supporting and character roles in film and television dramas.
-
A.
Oh Jae-won
Oh Jae-won is a South Korean former professional baseball infielder who played in the KBO League, most notably for the Doosan Bears.
-
B.
Kim Dong-wook
Kim Dong-wook is a composer known for creating the musical score for the South Korean dark fantasy series "Hellbound."
-
C.
Min Kyung-ho
Min Kyung-ho is a Korean individual notable primarily for bearing the given name "Min."
-
D.
Jung Jae-young
Jung Jae-young is a South Korean actor known for his versatile performances in both critically acclaimed films and popular television dramas.
-
E.
Jin Kyeong-hun
Jin Kyeong-hun is a central character in the South Korean dark fantasy series "Hellbound," depicted as a determined detective entangled in the mysterious and terrifying supernatural decrees that suddenly begin condemning people to hell.
- 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_69d8dd06a26481908039e2a1bae8c597 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e3984bf48190818fa2b01b75decb |
completed | April 20, 2026, 8:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07403a9e048190a158e9b1896de6e2 |
completed | May 15, 2026, 3:48 p.m. |
| NEDg | Description generation | batch_6a074145c3f48190a052c8d8fac0f2be |
completed | May 15, 2026, 3:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0741fc21888190913ce428cb176ffd |
completed | May 15, 2026, 3:55 p.m. |
Created at: April 10, 2026, 12:05 p.m.