Triple
T10600951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hitoshi |
E275744
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Hitoshi Matsumoto
Hitoshi Matsumoto is a prominent Japanese comedian, television host, and filmmaker best known as one half of the comedy duo Downtown.
|
E1100754
|
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 Matsumoto | Statement: [Hitoshi, hasNotableBearer, Hitoshi Matsumoto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hitoshi Matsumoto Context triple: [Hitoshi, hasNotableBearer, Hitoshi Matsumoto]
-
A.
Hitoshi Ashida
Hitoshi Ashida was a Japanese politician who served briefly as Prime Minister in the late 1940s during Japan’s postwar reconstruction period.
-
B.
Akinori Otsuka
Akinori Otsuka is a former Japanese professional baseball relief pitcher who starred in Nippon Professional Baseball and later became a successful closer in Major League Baseball.
-
C.
Hideo Nishitani
Hideo Nishitani is a scientist known for being a distinguished mentee of molecular biologist Bruce Stillman.
-
D.
Hiroki Ishikawa
Hiroki Ishikawa is an actor known for portraying the iconic kaiju Godzilla in Japanese monster films.
-
E.
Tadayoshi Kohno
Tadayoshi Kohno is a computer scientist and security researcher known for his work in cryptography, privacy, and the security of emerging technologies such as embedded and wireless systems.
- 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 Matsumoto Triple: [Hitoshi, hasNotableBearer, Hitoshi Matsumoto]
Generated description
Hitoshi Matsumoto is a prominent Japanese comedian, television host, and filmmaker best known as one half of the comedy duo Downtown.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hitoshi Matsumoto Target entity description: Hitoshi Matsumoto is a prominent Japanese comedian, television host, and filmmaker best known as one half of the comedy duo Downtown.
-
A.
Hitoshi Ashida
Hitoshi Ashida was a Japanese politician who served briefly as Prime Minister in the late 1940s during Japan’s postwar reconstruction period.
-
B.
Akinori Otsuka
Akinori Otsuka is a former Japanese professional baseball relief pitcher who starred in Nippon Professional Baseball and later became a successful closer in Major League Baseball.
-
C.
Hideo Nishitani
Hideo Nishitani is a scientist known for being a distinguished mentee of molecular biologist Bruce Stillman.
-
D.
Hiroki Ishikawa
Hiroki Ishikawa is an actor known for portraying the iconic kaiju Godzilla in Japanese monster films.
-
E.
Tadayoshi Kohno
Tadayoshi Kohno is a computer scientist and security researcher known for his work in cryptography, privacy, and the security of emerging technologies such as embedded and wireless systems.
- 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_69fd646ee860819083277b15aaf510fd |
completed | May 8, 2026, 4:19 a.m. |
| NEDg | Description generation | batch_69fd666a21d48190932a0a91f81490b4 |
completed | May 8, 2026, 4:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd66d75974819084aa4eb48f7079a3 |
completed | May 8, 2026, 4:30 a.m. |
Created at: April 8, 2026, 7:31 p.m.