Triple
T3795739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shingon Buddhism |
E89764
|
entity |
| Predicate | notableFigure |
P4290
|
FINISHED |
| Object |
Shinzei
Shinzei was a prominent Japanese Buddhist monk of the Heian period known for his influential role in the development and propagation of Shingon esoteric teachings.
|
E445018
|
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: Shinzei | Statement: [Shingon Buddhism, notableFigure, Shinzei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shinzei Context triple: [Shingon Buddhism, notableFigure, Shinzei]
-
A.
Shinpei
Shinpei is a Japanese given name commonly used for males and borne by various notable figures in politics, arts, and entertainment.
-
B.
Seikichi
Seikichi is a Japanese given name commonly used for males.
-
C.
Shintaro
Shintaro is a Japanese given name commonly used for males and borne by various notable figures in sports, entertainment, and politics.
-
D.
Shinya
Shinya is a Japanese given name commonly used for males.
-
E.
Tetsuzō
Tetsuzō is an alternate name for Katsushika Hokusai, the renowned Japanese ukiyo-e artist best known for his woodblock print series "Thirty-Six Views of Mount Fuji."
- 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: Shinzei Triple: [Shingon Buddhism, notableFigure, Shinzei]
Generated description
Shinzei was a prominent Japanese Buddhist monk of the Heian period known for his influential role in the development and propagation of Shingon esoteric teachings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shinzei Target entity description: Shinzei was a prominent Japanese Buddhist monk of the Heian period known for his influential role in the development and propagation of Shingon esoteric teachings.
-
A.
Shinpei
Shinpei is a Japanese given name commonly used for males and borne by various notable figures in politics, arts, and entertainment.
-
B.
Seikichi
Seikichi is a Japanese given name commonly used for males.
-
C.
Shintaro
Shintaro is a Japanese given name commonly used for males and borne by various notable figures in sports, entertainment, and politics.
-
D.
Shinya
Shinya is a Japanese given name commonly used for males.
-
E.
Tetsuzō
Tetsuzō is an alternate name for Katsushika Hokusai, the renowned Japanese ukiyo-e artist best known for his woodblock print series "Thirty-Six Views of Mount Fuji."
- 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_69aed9597d6881909b6ee3b9de859223 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee79f09bc8190b7514a11a030eba5 |
completed | March 9, 2026, 3:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b672133044819089d54cca5ed6a063 |
completed | March 15, 2026, 8:47 a.m. |
| NEDg | Description generation | batch_69b6734813a88190b2d673b70dd29cfb |
completed | March 15, 2026, 8:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b6739589948190ab614d150eeb00da |
completed | March 15, 2026, 8:53 a.m. |
Created at: March 9, 2026, 3:15 p.m.