Triple
T8076950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taguchi Junnosuke |
E188516
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Junnosuke
Junnosuke is a Japanese given name commonly used for males.
|
E720188
|
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: Junnosuke | Statement: [Taguchi Junnosuke, givenName, Junnosuke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Junnosuke Context triple: [Taguchi Junnosuke, givenName, Junnosuke]
-
A.
Kinnosuke
Kinnosuke is the given name of the renowned Japanese novelist Natsume Sōseki, a central figure in modern Japanese literature.
-
B.
Tarō
Tarō is a common Japanese masculine given name, often written with kanji meaning "eldest son" and frequently used in traditional and modern Japanese culture.
-
C.
Takahito
Takahito, better known by his title Prince Mikasa, was a member of the Japanese imperial family and the youngest son of Emperor Taishō.
-
D.
Shinpei
Shinpei is a Japanese given name commonly used for males and borne by various notable figures in politics, arts, and entertainment.
-
E.
Kenjirō
Kenjirō is a Japanese masculine given name that can be written with various kanji combinations and is borne by multiple notable individuals in fields such as sports, arts, and entertainment.
- 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: Junnosuke Triple: [Taguchi Junnosuke, givenName, Junnosuke]
Generated description
Junnosuke is a Japanese given name commonly used for males.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Junnosuke Target entity description: Junnosuke is a Japanese given name commonly used for males.
-
A.
Kinnosuke
Kinnosuke is the given name of the renowned Japanese novelist Natsume Sōseki, a central figure in modern Japanese literature.
-
B.
Tarō
Tarō is a common Japanese masculine given name, often written with kanji meaning "eldest son" and frequently used in traditional and modern Japanese culture.
-
C.
Takahito
Takahito, better known by his title Prince Mikasa, was a member of the Japanese imperial family and the youngest son of Emperor Taishō.
-
D.
Shinpei
Shinpei is a Japanese given name commonly used for males and borne by various notable figures in politics, arts, and entertainment.
-
E.
Kenjirō
Kenjirō is a Japanese masculine given name that can be written with various kanji combinations and is borne by multiple notable individuals in fields such as sports, arts, and entertainment.
- 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_69ca82b50c708190863f661d438e68df |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb40a184488190b19ef7066f0f5057 |
completed | March 31, 2026, 3:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd342a5fb88190b9225ba50e2124b8 |
completed | April 1, 2026, 3:05 p.m. |
| NEDg | Description generation | batch_69cd36ecc1d88190a978f1d51b0e1382 |
completed | April 1, 2026, 3:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd4e7822e48190bb573162f224bd8c |
completed | April 1, 2026, 4:57 p.m. |
Created at: March 30, 2026, 5:28 p.m.