Triple
T10600965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hitoshi |
E275744
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Hitoshi Sato
Hitoshi Sato is a Japanese former professional cyclist known for competing in national and international road racing events.
|
E1116977
|
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 Sato | Statement: [Hitoshi, hasNotableBearer, Hitoshi Sato]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hitoshi Sato Context triple: [Hitoshi, hasNotableBearer, Hitoshi Sato]
-
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 Suganuma
Hitoshi Suganuma is a Japanese individual notable enough to be specifically distinguished from others sharing the given name Hitoshi.
-
D.
Hitoshi Ogawa
Hitoshi Ogawa is a Japanese name borne by multiple individuals, most notably a former professional racing driver who competed in domestic and international motorsport series.
-
E.
Hitoshi Ashida
Hitoshi Ashida was a Japanese politician who served briefly as Prime Minister in the late 1940s during Japan’s postwar reconstruction period.
- 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 Sato Triple: [Hitoshi, hasNotableBearer, Hitoshi Sato]
Generated description
Hitoshi Sato is a Japanese former professional cyclist known for competing in national and international road racing events.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hitoshi Sato Target entity description: Hitoshi Sato is a Japanese former professional cyclist known for competing in national and international road racing events.
-
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 Suganuma
Hitoshi Suganuma is a Japanese individual notable enough to be specifically distinguished from others sharing the given name Hitoshi.
-
D.
Hitoshi Ogawa
Hitoshi Ogawa is a Japanese name borne by multiple individuals, most notably a former professional racing driver who competed in domestic and international motorsport series.
-
E.
Hitoshi Ashida
Hitoshi Ashida was a Japanese politician who served briefly as Prime Minister in the late 1940s during Japan’s postwar reconstruction period.
- 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_69fdfb6b97888190923ce7a6e59ff752 |
completed | May 8, 2026, 3:04 p.m. |
| NEDg | Description generation | batch_69fdffed6978819096b61adfe7eba2f0 |
completed | May 8, 2026, 3:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe00870b40819090cf6304272f714d |
completed | May 8, 2026, 3:25 p.m. |
Created at: April 8, 2026, 7:31 p.m.