Triple
T15620278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shohei |
E375532
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Shohei Miura
Shohei Miura is a Japanese actor and model known for his roles in television dramas, films, and stage productions.
|
E1265615
|
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: Shohei Miura | Statement: [Shohei, hasNotableBearer, Shohei Miura]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shohei Miura Context triple: [Shohei, hasNotableBearer, Shohei Miura]
-
A.
Takehiro Hira
Takehiro Hira is a Japanese actor known for his work in film, television, and theater, including a prominent role in the historical drama series "Shogun."
-
B.
Yasuo Matsui
Yasuo Matsui was a Japanese-American architect active in early 20th-century New York City, known for his work on prominent skyscrapers.
-
C.
Yoshinobu Nakamura
Yoshinobu Nakamura is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Nakamura.
-
D.
Shunsuke Nakamura
Shunsuke Nakamura is a renowned Japanese attacking midfielder best known for his precise free-kicks and successful spells in European football, particularly with Celtic.
-
E.
Shohei Shigematsu
Shohei Shigematsu is a Japanese architect and partner at OMA known for leading innovative cultural and educational projects in North America.
- 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: Shohei Miura Triple: [Shohei, hasNotableBearer, Shohei Miura]
Generated description
Shohei Miura is a Japanese actor and model known for his roles in television dramas, films, and stage productions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shohei Miura Target entity description: Shohei Miura is a Japanese actor and model known for his roles in television dramas, films, and stage productions.
-
A.
Takehiro Hira
Takehiro Hira is a Japanese actor known for his work in film, television, and theater, including a prominent role in the historical drama series "Shogun."
-
B.
Yasuo Matsui
Yasuo Matsui was a Japanese-American architect active in early 20th-century New York City, known for his work on prominent skyscrapers.
-
C.
Yoshinobu Nakamura
Yoshinobu Nakamura is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Nakamura.
-
D.
Shunsuke Nakamura
Shunsuke Nakamura is a renowned Japanese attacking midfielder best known for his precise free-kicks and successful spells in European football, particularly with Celtic.
-
E.
Shohei Shigematsu
Shohei Shigematsu is a Japanese architect and partner at OMA known for leading innovative cultural and educational projects in North America.
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e997ce481909b2f10d25705fbc6 |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a019fd56d0c8190a48cf8a47290d9ff |
completed | May 11, 2026, 9:22 a.m. |
| NEDg | Description generation | batch_6a01a078ae4881909ee0e192032909fd |
completed | May 11, 2026, 9:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01a0d9e5348190931ee4df49563ea5 |
completed | May 11, 2026, 9:26 a.m. |
Created at: April 10, 2026, 4:13 a.m.