Triple
T16155672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jun’ya |
E392034
|
entity |
| Predicate | hasVariantTransliteration |
P5923
|
FINISHED |
| Object |
Jun-ya
Jun-ya is a Japanese given name typically used for males, with various possible kanji writings that convey different meanings.
|
E1216362
|
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: Jun-ya | Statement: [Jun’ya, hasVariantTransliteration, Jun-ya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jun-ya Context triple: [Jun’ya, hasVariantTransliteration, Jun-ya]
-
A.
Junnosuke
Junnosuke is a Japanese given name commonly used for males.
-
B.
Isami
Isami was a 14th-century Indian historian and poet best known for his Persian chronicle "Futuh-us-Salatin," which records the political and military history of the Delhi Sultanate, including the Mongol invasions of India.
-
C.
Yuko
Yuko is an alternate name for the Yukpa language, an indigenous language spoken by the Yukpa people of Colombia and Venezuela.
-
D.
Yuko
Yuko is a common Japanese feminine given name borne by numerous notable figures in fields such as entertainment, sports, and the arts.
-
E.
Takahito
Takahito, better known by his title Prince Mikasa, was a member of the Japanese imperial family and the youngest son of Emperor Taishō.
- 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: Jun-ya Triple: [Jun’ya, hasVariantTransliteration, Jun-ya]
Generated description
Jun-ya is a Japanese given name typically used for males, with various possible kanji writings that convey different meanings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jun-ya Target entity description: Jun-ya is a Japanese given name typically used for males, with various possible kanji writings that convey different meanings.
-
A.
Junnosuke
Junnosuke is a Japanese given name commonly used for males.
-
B.
Isami
Isami was a 14th-century Indian historian and poet best known for his Persian chronicle "Futuh-us-Salatin," which records the political and military history of the Delhi Sultanate, including the Mongol invasions of India.
-
C.
Yuko
Yuko is an alternate name for the Yukpa language, an indigenous language spoken by the Yukpa people of Colombia and Venezuela.
-
D.
Yuko
Yuko is a common Japanese feminine given name borne by numerous notable figures in fields such as entertainment, sports, and the arts.
-
E.
Takahito
Takahito, better known by his title Prince Mikasa, was a member of the Japanese imperial family and the youngest son of Emperor Taishō.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21e5902a08190ad8694955ef6073a |
completed | April 17, 2026, 11:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a005809cbf08190b35f2c820793163c |
completed | May 10, 2026, 10:03 a.m. |
| NEDg | Description generation | batch_6a0059aef1e88190a77ed6036c546718 |
completed | May 10, 2026, 10:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a005a2411608190b0fd5dbb68c47fe4 |
completed | May 10, 2026, 10:12 a.m. |
Created at: April 10, 2026, 5:01 a.m.