Triple
T14614731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ohno |
E343054
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Ryo Ohno
Ryo Ohno is a Japanese individual notable enough to be recognized as a namesake of the surname Ohno.
|
E1171168
|
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: Ryo Ohno | Statement: [Ohno, hasNotableBearer, Ryo Ohno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ryo Ohno Context triple: [Ohno, hasNotableBearer, Ryo Ohno]
-
A.
Ryo Kase
Ryo Kase is a Japanese actor known for his versatile performances in both domestic films and international productions.
-
B.
Ryo Okumoto
Ryo Okumoto is a Japanese-born keyboardist best known for his long-time role in the American progressive rock band Spock’s Beard.
-
C.
Kento Nakamura
Kento Nakamura is a Japanese individual known primarily as a notable bearer of the Nakamura surname.
-
D.
Ryo Nagamatsu
Ryo Nagamatsu is a Japanese video game composer best known for his work on major Nintendo titles, particularly in the Super Mario and The Legend of Zelda series.
-
E.
Toru Watanabe
Toru Watanabe is the introspective university student protagonist of Haruki Murakami’s novel "Norwegian Wood," whose coming-of-age story explores love, loss, and emotional turmoil in 1960s Tokyo.
- 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: Ryo Ohno Triple: [Ohno, hasNotableBearer, Ryo Ohno]
Generated description
Ryo Ohno is a Japanese individual notable enough to be recognized as a namesake of the surname Ohno.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ryo Ohno Target entity description: Ryo Ohno is a Japanese individual notable enough to be recognized as a namesake of the surname Ohno.
-
A.
Ryo Kase
Ryo Kase is a Japanese actor known for his versatile performances in both domestic films and international productions.
-
B.
Ryo Okumoto
Ryo Okumoto is a Japanese-born keyboardist best known for his long-time role in the American progressive rock band Spock’s Beard.
-
C.
Kento Nakamura
Kento Nakamura is a Japanese individual known primarily as a notable bearer of the Nakamura surname.
-
D.
Ryo Nagamatsu
Ryo Nagamatsu is a Japanese video game composer best known for his work on major Nintendo titles, particularly in the Super Mario and The Legend of Zelda series.
-
E.
Toru Watanabe
Toru Watanabe is the introspective university student protagonist of Haruki Murakami’s novel "Norwegian Wood," whose coming-of-age story explores love, loss, and emotional turmoil in 1960s Tokyo.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb45264988190a1df13e8b54a85bd |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6ec12de8819097cd83530e54f54b |
completed | May 9, 2026, 5:28 p.m. |
| NEDg | Description generation | batch_69ff6f691b1c8190a5b6ede22f90a1d9 |
completed | May 9, 2026, 5:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff700c8c748190a24996936d591435 |
completed | May 9, 2026, 5:34 p.m. |
Created at: April 10, 2026, 1:25 a.m.