Triple
T12445053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nichiren |
E297376
|
entity |
| Predicate | majorWork |
P4
|
FINISHED |
| Object |
Kaimoku Sho
Kaimoku Sho is a key treatise by the Buddhist monk Nichiren that outlines his doctrinal positions and his call for religious and political reform in Japan.
|
E985083
|
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: Kaimoku Sho | Statement: [Nichiren, majorWork, Kaimoku Sho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaimoku Sho Context triple: [Nichiren, majorWork, Kaimoku Sho]
-
A.
Keisuke
Keisuke is a Japanese given name commonly used for males and borne by numerous notable figures in fields such as sports, entertainment, and politics.
-
B.
Wakatoshi
Wakatoshi is a fictional volleyball player from the manga and anime series "Haikyuu!!", known as the powerful ace and captain of Shiratorizawa Academy.
-
C.
Taro Kono
Taro Kono is a prominent Japanese politician and Liberal Democratic Party member known for serving in key cabinet posts such as foreign minister and defense minister and for his reformist, media-savvy profile.
-
D.
Yoshinobu
Yoshinobu is a Japanese given name commonly used for males.
-
E.
Kuniaki
Kuniaki is a Japanese masculine given name that can be written with various kanji combinations and has been borne by several notable figures, including politicians and athletes.
- 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: Kaimoku Sho Triple: [Nichiren, majorWork, Kaimoku Sho]
Generated description
Kaimoku Sho is a key treatise by the Buddhist monk Nichiren that outlines his doctrinal positions and his call for religious and political reform in Japan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kaimoku Sho Target entity description: Kaimoku Sho is a key treatise by the Buddhist monk Nichiren that outlines his doctrinal positions and his call for religious and political reform in Japan.
-
A.
Keisuke
Keisuke is a Japanese given name commonly used for males and borne by numerous notable figures in fields such as sports, entertainment, and politics.
-
B.
Wakatoshi
Wakatoshi is a fictional volleyball player from the manga and anime series "Haikyuu!!", known as the powerful ace and captain of Shiratorizawa Academy.
-
C.
Taro Kono
Taro Kono is a prominent Japanese politician and Liberal Democratic Party member known for serving in key cabinet posts such as foreign minister and defense minister and for his reformist, media-savvy profile.
-
D.
Yoshinobu
Yoshinobu is a Japanese given name commonly used for males.
-
E.
Kuniaki
Kuniaki is a Japanese masculine given name that can be written with various kanji combinations and has been borne by several notable figures, including politicians and athletes.
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d8fd9848190a83410353d88ea8d |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f132d048190b58a8381bdc74cad |
completed | May 2, 2026, 6:14 p.m. |
| NEDg | Description generation | batch_69f6415f11d88190a9f77eb1890f76ef |
completed | May 2, 2026, 6:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f64231606481909b8dd9d878670a6c |
completed | May 2, 2026, 6:28 p.m. |
Created at: April 8, 2026, 9:55 p.m.