Triple
T19116337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oh |
E467916
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Oh Ji-ho
Oh Ji-ho is a South Korean actor and model best known for his roles in popular television dramas and films.
|
E1370065
|
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 Ji-ho | Statement: [Oh, hasNotableBearer, Oh Ji-ho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oh Ji-ho Context triple: [Oh, hasNotableBearer, Oh Ji-ho]
-
A.
Oh Jun-ho
Oh Jun-ho is a South Korean roboticist best known for leading the development of the humanoid robot HUBO and advancing bipedal robotics research.
-
B.
Oh Se-hoon
Oh Se-hoon is a South Korean politician best known for serving multiple terms as the mayor of Seoul.
-
C.
Ji Han-jae
Ji Han-jae is a renowned South Korean hapkido grandmaster and martial arts actor known for his influential role in popularizing hapkido worldwide.
-
D.
Lim Yo-hwan
Lim Yo-hwan is a legendary South Korean professional gamer best known for his dominance in StarCraft under the nickname "BoxeR," widely regarded as one of the pioneers and icons of esports.
-
E.
Jeong Ji-hoon
Jeong Ji-hoon, better known by his stage name Rain, is a South Korean singer, actor, and music producer who gained international fame as a K-pop star and Hallyu icon.
- 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 Ji-ho Triple: [Oh, hasNotableBearer, Oh Ji-ho]
Generated description
Oh Ji-ho is a South Korean actor and model best known for his roles in popular television dramas and films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oh Ji-ho Target entity description: Oh Ji-ho is a South Korean actor and model best known for his roles in popular television dramas and films.
-
A.
Oh Jun-ho
Oh Jun-ho is a South Korean roboticist best known for leading the development of the humanoid robot HUBO and advancing bipedal robotics research.
-
B.
Oh Se-hoon
Oh Se-hoon is a South Korean politician best known for serving multiple terms as the mayor of Seoul.
-
C.
Ji Han-jae
Ji Han-jae is a renowned South Korean hapkido grandmaster and martial arts actor known for his influential role in popularizing hapkido worldwide.
-
D.
Lim Yo-hwan
Lim Yo-hwan is a legendary South Korean professional gamer best known for his dominance in StarCraft under the nickname "BoxeR," widely regarded as one of the pioneers and icons of esports.
-
E.
Jeong Ji-hoon
Jeong Ji-hoon, better known by his stage name Rain, is a South Korean singer, actor, and music producer who gained international fame as a K-pop star and Hallyu icon.
- 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_6a071bc6572c819081768eabc94fa410 |
completed | May 15, 2026, 1:12 p.m. |
| NEDg | Description generation | batch_6a071c75c5a0819092fa580a73540514 |
completed | May 15, 2026, 1:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a071cfc2bd08190bc15912c076d4655 |
completed | May 15, 2026, 1:17 p.m. |
Created at: April 10, 2026, 12:05 p.m.