Triple
T10600982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hitoshi |
E275744
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Hitoshi Sugai
Hitoshi Sugai is a Japanese individual notable enough to be specifically distinguished from others sharing the given name Hitoshi.
|
E1138411
|
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 Sugai | Statement: [Hitoshi, hasNotableBearer, Hitoshi Sugai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hitoshi Sugai Context triple: [Hitoshi, hasNotableBearer, Hitoshi Sugai]
-
A.
Hitoshi Kato
Hitoshi Kato is a Japanese individual notable enough to be specifically distinguished from others sharing the given name Hitoshi.
-
B.
Hitoshi Kuroki
Hitoshi Kuroki is a Japanese individual notable enough to be recognized as a prominent bearer of the given name Hitoshi.
-
C.
Hitoshi Murayama
Hitoshi Murayama is a prominent Japanese theoretical physicist known for his work in particle physics and cosmology and for holding leading academic positions in both Japan and the United States.
-
D.
Hitoshi Sato
Hitoshi Sato is a Japanese former professional cyclist known for competing in national and international road racing events.
-
E.
Hitoshi Matsumoto
Hitoshi Matsumoto is a prominent Japanese comedian, television host, and filmmaker best known as one half of the comedy duo Downtown.
- 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 Sugai Triple: [Hitoshi, hasNotableBearer, Hitoshi Sugai]
Generated description
Hitoshi Sugai is a Japanese individual notable enough to be specifically distinguished from others sharing the given name Hitoshi.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hitoshi Sugai Target entity description: Hitoshi Sugai is a Japanese individual notable enough to be specifically distinguished from others sharing the given name Hitoshi.
-
A.
Hitoshi Kato
Hitoshi Kato is a Japanese individual notable enough to be specifically distinguished from others sharing the given name Hitoshi.
-
B.
Hitoshi Kuroki
Hitoshi Kuroki is a Japanese individual notable enough to be recognized as a prominent bearer of the given name Hitoshi.
-
C.
Hitoshi Murayama
Hitoshi Murayama is a prominent Japanese theoretical physicist known for his work in particle physics and cosmology and for holding leading academic positions in both Japan and the United States.
-
D.
Hitoshi Sato
Hitoshi Sato is a Japanese former professional cyclist known for competing in national and international road racing events.
-
E.
Hitoshi Matsumoto
Hitoshi Matsumoto is a prominent Japanese comedian, television host, and filmmaker best known as one half of the comedy duo Downtown.
- 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_69feb7ca3e348190a75c1dd8aec73a40 |
completed | May 9, 2026, 4:27 a.m. |
| NEDg | Description generation | batch_69feba1d256c8190ba13379d0cb8135c |
completed | May 9, 2026, 4:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feba93c4cc819083c683210d1f03f8 |
completed | May 9, 2026, 4:39 a.m. |
Created at: April 8, 2026, 7:31 p.m.