Triple
T19116342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oh |
E467916
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
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.
|
E1375938
|
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 Jae-won | Statement: [Oh, hasNotableBearer, Oh Jae-won]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oh Jae-won Context triple: [Oh, hasNotableBearer, Oh Jae-won]
-
A.
Jang Young-hwan
Jang Young-hwan is a South Korean film producer best known for his work on the Academy Award–winning film "Parasite."
-
B.
Oh Se-hoon
Oh Se-hoon is a South Korean politician best known for serving multiple terms as the mayor of Seoul.
-
C.
Kim Dong-wook
Kim Dong-wook is a composer known for creating the musical score for the South Korean dark fantasy series "Hellbound."
-
D.
Jeong Woo-sung
Jeong Woo-sung is a South Korean actor, director, and producer known for his leading roles in films such as "The Good, the Bad, the Weird" and "A Moment to Remember."
-
E.
Jung Yong-hwa
Jung Yong-hwa is a South Korean singer-songwriter, musician, and actor best known as the leader and lead vocalist of the rock band CNBLUE.
- 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 Jae-won Triple: [Oh, hasNotableBearer, Oh Jae-won]
Generated description
Oh Jae-won is a South Korean former professional baseball infielder who played in the KBO League, most notably for the Doosan Bears.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oh Jae-won Target entity description: Oh Jae-won is a South Korean former professional baseball infielder who played in the KBO League, most notably for the Doosan Bears.
-
A.
Jang Young-hwan
Jang Young-hwan is a South Korean film producer best known for his work on the Academy Award–winning film "Parasite."
-
B.
Oh Se-hoon
Oh Se-hoon is a South Korean politician best known for serving multiple terms as the mayor of Seoul.
-
C.
Kim Dong-wook
Kim Dong-wook is a composer known for creating the musical score for the South Korean dark fantasy series "Hellbound."
-
D.
Jeong Woo-sung
Jeong Woo-sung is a South Korean actor, director, and producer known for his leading roles in films such as "The Good, the Bad, the Weird" and "A Moment to Remember."
-
E.
Jung Yong-hwa
Jung Yong-hwa is a South Korean singer-songwriter, musician, and actor best known as the leader and lead vocalist of the rock band CNBLUE.
- 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_6a0733b6f7dc8190844310ea388ffc09 |
completed | May 15, 2026, 2:54 p.m. |
| NEDg | Description generation | batch_6a07371d1030819090e79549769dc919 |
completed | May 15, 2026, 3:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07377a8ef881909b45139d32a3d973 |
completed | May 15, 2026, 3:10 p.m. |
Created at: April 10, 2026, 12:05 p.m.