Triple
T12064669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kishi |
E287263
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Toshihiko Kishi
Toshihiko Kishi is a Japanese musician and composer known for his work on video game and anime soundtracks.
|
E993774
|
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: Toshihiko Kishi | Statement: [Kishi, hasNotableBearer, Toshihiko Kishi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toshihiko Kishi Context triple: [Kishi, hasNotableBearer, Toshihiko Kishi]
-
A.
Eisaku Inoue
Eisaku Inoue is a Japanese politician who served as a member of the House of Representatives and held various posts within the Liberal Democratic Party.
-
B.
Shigeru Satō
Shigeru Satō is a Japanese individual notable enough to be specifically distinguished among people sharing the surname Satō.
-
C.
Takeo Doi
Takeo Doi was a Japanese aeronautical engineer best known for designing several World War II fighter aircraft for the Imperial Japanese Army Air Service.
-
D.
Eisaku Yamaguchi
Eisaku Yamaguchi is a Japanese voice actor known for his work in anime, video games, and dubbing foreign media.
-
E.
Higashikuni Toshihiko
Higashikuni Toshihiko was a Japanese imperial prince and member of the Higashikuni-no-miya house, a collateral branch of the Imperial Family of Japan.
- 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: Toshihiko Kishi Triple: [Kishi, hasNotableBearer, Toshihiko Kishi]
Generated description
Toshihiko Kishi is a Japanese musician and composer known for his work on video game and anime soundtracks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Toshihiko Kishi Target entity description: Toshihiko Kishi is a Japanese musician and composer known for his work on video game and anime soundtracks.
-
A.
Eisaku Inoue
Eisaku Inoue is a Japanese politician who served as a member of the House of Representatives and held various posts within the Liberal Democratic Party.
-
B.
Shigeru Satō
Shigeru Satō is a Japanese individual notable enough to be specifically distinguished among people sharing the surname Satō.
-
C.
Takeo Doi
Takeo Doi was a Japanese aeronautical engineer best known for designing several World War II fighter aircraft for the Imperial Japanese Army Air Service.
-
D.
Eisaku Yamaguchi
Eisaku Yamaguchi is a Japanese voice actor known for his work in anime, video games, and dubbing foreign media.
-
E.
Higashikuni Toshihiko
Higashikuni Toshihiko was a Japanese imperial prince and member of the Higashikuni-no-miya house, a collateral branch of the Imperial Family of Japan.
- 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90440dd988190ae2b80367aceb6f7 |
completed | April 10, 2026, 2:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65e9693188190b22702216ca273e2 |
completed | May 2, 2026, 8:29 p.m. |
| NEDg | Description generation | batch_69f66308087c81908ab5b5795f255e37 |
completed | May 2, 2026, 8:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f663fe2fac8190bb70c8f1b919d657 |
completed | May 2, 2026, 8:52 p.m. |
Created at: April 8, 2026, 9:48 p.m.