Triple
T14933166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yūsaku Kamekura |
E372320
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Yūsaku
Yūsaku is a Japanese masculine given name used by various notable figures in fields such as art, entertainment, and sports.
|
E1362069
|
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: Yūsaku | Statement: [Yūsaku Kamekura, givenName, Yūsaku]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yūsaku Context triple: [Yūsaku Kamekura, givenName, Yūsaku]
-
A.
Yasutake
Yasutake is a Japanese surname associated with individuals of Japanese heritage, including the American nonprofit leader Irene Hirano.
-
B.
Yasu
Yasu is a Japanese city located in Shiga Prefecture, known for its blend of residential areas, local industry, and proximity to Lake Biwa.
-
C.
Yasuji
Yasuji is a Japanese given name commonly used for males and borne by various notable figures in Japan.
-
D.
Takaishi
Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
-
E.
Takahira
Takahira was the personal name of Emperor Go-Toba, a late 12th- to early 13th-century Japanese emperor known for his political struggles with the shogunate and his patronage of the arts.
- 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: Yūsaku Triple: [Yūsaku Kamekura, givenName, Yūsaku]
Generated description
Yūsaku is a Japanese masculine given name used by various notable figures in fields such as art, entertainment, and sports.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yūsaku Target entity description: Yūsaku is a Japanese masculine given name used by various notable figures in fields such as art, entertainment, and sports.
-
A.
Yasutake
Yasutake is a Japanese surname associated with individuals of Japanese heritage, including the American nonprofit leader Irene Hirano.
-
B.
Yasu
Yasu is a Japanese city located in Shiga Prefecture, known for its blend of residential areas, local industry, and proximity to Lake Biwa.
-
C.
Yasuji
Yasuji is a Japanese given name commonly used for males and borne by various notable figures in Japan.
-
D.
Takaishi
Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
-
E.
Takahira
Takahira was the personal name of Emperor Go-Toba, a late 12th- to early 13th-century Japanese emperor known for his political struggles with the shogunate and his patronage of the arts.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded646a0808190ba5c0c91bde011c5 |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a06f89123f0819086f3aeef4c309f63 |
completed | May 15, 2026, 10:42 a.m. |
| NEDg | Description generation | batch_6a06f9666b2081908c02f7e0d63345d1 |
completed | May 15, 2026, 10:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a06f9efad4c81908415dc4b56a38ddc |
completed | May 15, 2026, 10:48 a.m. |
Created at: April 10, 2026, 2:37 a.m.