Triple
T16728640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dengyō Daishi |
E406527
|
entity |
| Predicate | teacherOf |
P48
|
FINISHED |
| Object |
Gishin
Gishin was an early Japanese Tendai Buddhist monk and scholar who helped establish and systematize the Tendai school following the teachings of his mentor Dengyō Daishi (Saichō).
|
E1237531
|
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: Gishin | Statement: [Dengyō Daishi, teacherOf, Gishin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gishin Context triple: [Dengyō Daishi, teacherOf, Gishin]
-
A.
Hizaori
Hizaori is the former name of Asaka, a city located in Saitama Prefecture, Japan.
-
B.
Katsuragi
Katsuragi was a late-war Imperial Japanese Navy aircraft carrier that served in the Pacific Theater during World War II.
-
C.
Katsuragi
Katsuragi is a city in Japan known for its location in Nara Prefecture and its historical and cultural ties to the ancient Yamato region.
-
D.
Nishiizu
Nishiizu is a coastal town in Shizuoka Prefecture, Japan, known for its rugged seaside scenery, hot springs, and views of Suruga Bay.
-
E.
Shinshiro
Shinshiro is a city in eastern Aichi Prefecture, Japan, known for its mountainous scenery, historic battle sites, and traditional rural landscapes.
- 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: Gishin Triple: [Dengyō Daishi, teacherOf, Gishin]
Generated description
Gishin was an early Japanese Tendai Buddhist monk and scholar who helped establish and systematize the Tendai school following the teachings of his mentor Dengyō Daishi (Saichō).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gishin Target entity description: Gishin was an early Japanese Tendai Buddhist monk and scholar who helped establish and systematize the Tendai school following the teachings of his mentor Dengyō Daishi (Saichō).
-
A.
Hizaori
Hizaori is the former name of Asaka, a city located in Saitama Prefecture, Japan.
-
B.
Katsuragi
Katsuragi was a late-war Imperial Japanese Navy aircraft carrier that served in the Pacific Theater during World War II.
-
C.
Katsuragi
Katsuragi is a city in Japan known for its location in Nara Prefecture and its historical and cultural ties to the ancient Yamato region.
-
D.
Nishiizu
Nishiizu is a coastal town in Shizuoka Prefecture, Japan, known for its rugged seaside scenery, hot springs, and views of Suruga Bay.
-
E.
Shinshiro
Shinshiro is a city in eastern Aichi Prefecture, Japan, known for its mountainous scenery, historic battle sites, and traditional rural landscapes.
- 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e38749baa48190892b2e2b978f6eb6 |
completed | April 18, 2026, 1:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c29693dc819096993d8ba0fb3d71 |
completed | May 10, 2026, 5:38 p.m. |
| NEDg | Description generation | batch_6a00c31d79688190b09754074a0dbafb |
completed | May 10, 2026, 5:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00c38569d081909f20b7cb32ceb714 |
completed | May 10, 2026, 5:42 p.m. |
Created at: April 10, 2026, 5:20 a.m.