Triple
T10600985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hitoshi |
E275744
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Hitoshi Tomishima
Hitoshi Tomishima is a former Japanese footballer and manager known for his career in the J.League.
|
E1141884
|
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 Tomishima | Statement: [Hitoshi, hasNotableBearer, Hitoshi Tomishima]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hitoshi Tomishima Context triple: [Hitoshi, hasNotableBearer, Hitoshi Tomishima]
-
A.
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.
-
B.
Hitoshi Tamura
Hitoshi Tamura is a Japanese individual notable enough to be specifically distinguished from others sharing the given name Hitoshi.
-
C.
Hitoshi Morishita
Hitoshi Morishita is a Japanese former professional footballer and current football manager.
-
D.
Hitoshi Nakano
Hitoshi Nakano is a Japanese individual notable enough to be specifically distinguished from others sharing the given name Hitoshi.
-
E.
Hitoshi Nakajima
Hitoshi Nakajima is a Japanese individual notable enough to be specifically distinguished from others sharing the given name Hitoshi.
- 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 Tomishima Triple: [Hitoshi, hasNotableBearer, Hitoshi Tomishima]
Generated description
Hitoshi Tomishima is a former Japanese footballer and manager known for his career in the J.League.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hitoshi Tomishima Target entity description: Hitoshi Tomishima is a former Japanese footballer and manager known for his career in the J.League.
-
A.
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.
-
B.
Hitoshi Tamura
Hitoshi Tamura is a Japanese individual notable enough to be specifically distinguished from others sharing the given name Hitoshi.
-
C.
Hitoshi Morishita
Hitoshi Morishita is a Japanese former professional footballer and current football manager.
-
D.
Hitoshi Nakano
Hitoshi Nakano is a Japanese individual notable enough to be specifically distinguished from others sharing the given name Hitoshi.
-
E.
Hitoshi Nakajima
Hitoshi Nakajima is a Japanese individual notable enough to be specifically distinguished from others sharing the given name Hitoshi.
- 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_69fec869957481909ea4fded01851b70 |
completed | May 9, 2026, 5:38 a.m. |
| NEDg | Description generation | batch_69feca4643dc8190af82f6c2f9133e2a |
completed | May 9, 2026, 5:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fecb0459008190888043ab25bae96b |
completed | May 9, 2026, 5:49 a.m. |
Created at: April 8, 2026, 7:31 p.m.