Triple
T10600979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hitoshi |
E275744
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Hitoshi Ono
Hitoshi Ono is a Japanese mathematician known for his contributions to numerical analysis and finite element methods.
|
E1137330
|
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: Hitoshi Ono | Statement: [Hitoshi, hasNotableBearer, Hitoshi Ono]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hitoshi Ono Context triple: [Hitoshi, hasNotableBearer, Hitoshi Ono]
-
A.
Hitoshi Imamura
Hitoshi Imamura was a senior Imperial Japanese Army general during World War II, known for leading major operations in Southeast Asia and the Pacific.
-
B.
Hitoshi Ogino
Hitoshi Ogino is a Japanese individual notable enough to be specifically distinguished from others sharing the given name Hitoshi.
-
C.
Hitoshi Kihara
Hitoshi Kihara was a pioneering Japanese geneticist known for his fundamental contributions to plant genetics and cytogenetics, particularly in wheat.
-
D.
Takashi Ono
Takashi Ono is the son of Canadian-American university president and biomedical researcher Santa J. Ono.
-
E.
Hitoshi Sato
Hitoshi Sato is a Japanese former professional cyclist known for competing in national and international road racing events.
- 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: Hitoshi Ono Triple: [Hitoshi, hasNotableBearer, Hitoshi Ono]
Generated description
Hitoshi Ono is a Japanese mathematician known for his contributions to numerical analysis and finite element methods.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hitoshi Ono Target entity description: Hitoshi Ono is a Japanese mathematician known for his contributions to numerical analysis and finite element methods.
-
A.
Hitoshi Imamura
Hitoshi Imamura was a senior Imperial Japanese Army general during World War II, known for leading major operations in Southeast Asia and the Pacific.
-
B.
Hitoshi Ogino
Hitoshi Ogino is a Japanese individual notable enough to be specifically distinguished from others sharing the given name Hitoshi.
-
C.
Hitoshi Kihara
Hitoshi Kihara was a pioneering Japanese geneticist known for his fundamental contributions to plant genetics and cytogenetics, particularly in wheat.
-
D.
Takashi Ono
Takashi Ono is the son of Canadian-American university president and biomedical researcher Santa J. Ono.
-
E.
Hitoshi Sato
Hitoshi Sato is a Japanese former professional cyclist known for competing in national and international road racing events.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6ded52f288190b40288d0acbe009b |
completed | April 8, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feadf5e520819090c3211a1992d463 |
completed | May 9, 2026, 3:45 a.m. |
| NEDg | Description generation | batch_69feb2ce28388190945d6a22cf56ce3f |
completed | May 9, 2026, 4:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feb325f9e881908e80126dc2f25e58 |
completed | May 9, 2026, 4:08 a.m. |
Created at: April 8, 2026, 7:31 p.m.