Triple
T10600976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hitoshi |
E275744
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Hitoshi Morita
Hitoshi Morita is a Japanese mathematician known for his contributions to topology and for the Morita equivalence concept in category theory and algebra.
|
E1131254
|
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 Morita | Statement: [Hitoshi, hasNotableBearer, Hitoshi Morita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hitoshi Morita Context triple: [Hitoshi, hasNotableBearer, Hitoshi Morita]
-
A.
Hitoshi Morishita
Hitoshi Morishita is a Japanese former professional footballer and current football manager.
-
B.
Hitoshi Shinsato
Hitoshi Shinsato is a Japanese individual notable enough to be specifically distinguished as a bearer of the given name Hitoshi.
-
C.
Hitoshi Iwaaki
Hitoshi Iwaaki is a Japanese manga artist best known internationally for creating the science fiction horror series "Parasyte."
-
D.
Hitoshi Suganuma
Hitoshi Suganuma is a Japanese individual notable enough to be specifically distinguished from others sharing the given name Hitoshi.
-
E.
Hitoshi Saito
Hitoshi Saito was a Japanese judoka and two-time Olympic gold medalist renowned as one of the sport’s dominant heavyweights in the 1980s.
- 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 Morita Triple: [Hitoshi, hasNotableBearer, Hitoshi Morita]
Generated description
Hitoshi Morita is a Japanese mathematician known for his contributions to topology and for the Morita equivalence concept in category theory and algebra.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hitoshi Morita Target entity description: Hitoshi Morita is a Japanese mathematician known for his contributions to topology and for the Morita equivalence concept in category theory and algebra.
-
A.
Hitoshi Morishita
Hitoshi Morishita is a Japanese former professional footballer and current football manager.
-
B.
Hitoshi Shinsato
Hitoshi Shinsato is a Japanese individual notable enough to be specifically distinguished as a bearer of the given name Hitoshi.
-
C.
Hitoshi Iwaaki
Hitoshi Iwaaki is a Japanese manga artist best known internationally for creating the science fiction horror series "Parasyte."
-
D.
Hitoshi Suganuma
Hitoshi Suganuma is a Japanese individual notable enough to be specifically distinguished from others sharing the given name Hitoshi.
-
E.
Hitoshi Saito
Hitoshi Saito was a Japanese judoka and two-time Olympic gold medalist renowned as one of the sport’s dominant heavyweights in the 1980s.
- 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_69fe967a96708190b8688e84fdb270b0 |
completed | May 9, 2026, 2:05 a.m. |
| NEDg | Description generation | batch_69fe97c0a3688190a9f55376a1d7ad87 |
completed | May 9, 2026, 2:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe985cec608190888733cdc5bd71ea |
completed | May 9, 2026, 2:13 a.m. |
Created at: April 8, 2026, 7:31 p.m.