Triple
T7740886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yuji |
E175505
|
entity |
| Predicate | hasVariantTransliteration |
P5923
|
FINISHED |
| Object |
Yūji
Yūji is a common Japanese given name for males, typically written with kanji characters that convey positive traits such as courage, gentleness, or excellence.
|
E691861
|
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: Yūji | Statement: [Yuji, hasVariantTransliteration, Yūji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yūji Context triple: [Yuji, hasVariantTransliteration, Yūji]
-
A.
Yukio
Yukio is a Japanese given name commonly used for males and borne by several notable figures in politics, arts, and entertainment.
-
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.
Takayoshi
Takayoshi is a Japanese given name notably borne by Kido Takayoshi, a key samurai and statesman of the Meiji Restoration.
- 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: Yūji Triple: [Yuji, hasVariantTransliteration, Yūji]
Generated description
Yūji is a common Japanese given name for males, typically written with kanji characters that convey positive traits such as courage, gentleness, or excellence.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yūji Target entity description: Yūji is a common Japanese given name for males, typically written with kanji characters that convey positive traits such as courage, gentleness, or excellence.
-
A.
Yukio
Yukio is a Japanese given name commonly used for males and borne by several notable figures in politics, arts, and entertainment.
-
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.
Takayoshi
Takayoshi is a Japanese given name notably borne by Kido Takayoshi, a key samurai and statesman of the Meiji Restoration.
- 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_69c6995f9c60819092e386192bd63c6f |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7035df9348190ad3f3d845207bf4d |
completed | March 27, 2026, 10:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c9c2e6b2e88190be579a15109d4f82 |
completed | March 30, 2026, 12:25 a.m. |
| NEDg | Description generation | batch_69c9c335e21c8190b6d9d2231edb1d62 |
completed | March 30, 2026, 12:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c9c386625c8190ad4cf783b1c91ff9 |
completed | March 30, 2026, 12:27 a.m. |
Created at: March 27, 2026, 4:07 p.m.