Triple
T16406206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dōgen |
E398437
|
entity |
| Predicate | teacherOf |
P48
|
FINISHED |
| Object |
Koun Ejō
Koun Ejō was a prominent 13th-century Japanese Sōtō Zen monk who became Dōgen’s chief disciple and successor as head of the Eiheiji monastery.
|
E1212617
|
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: Koun Ejō | Statement: [Dōgen, teacherOf, Koun Ejō]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koun Ejō Context triple: [Dōgen, teacherOf, Koun Ejō]
-
A.
Enyō
Enyō is a minor Greek goddess associated with war, destruction, and the bloody chaos of battle, often depicted as a companion of Ares.
-
B.
Keiyo
Keiyo is a Southern Nilotic language spoken primarily by the Keiyo people of Kenya’s Rift Valley region.
-
C.
Kōjun
Kōjun was the posthumous name of Empress Kōjun, the wife of Emperor Shōwa (Hirohito) and mother of Emperor Emeritus Akihito of Japan.
-
D.
Kyojin
Kyojin is the popular nickname of the Yomiuri Giants, one of Japan’s most historic and successful professional baseball teams.
-
E.
Eikandō
Eikandō is a historic Buddhist temple in Kyoto, Japan, renowned for its autumn foliage and iconic statue of the Amida Buddha looking over its shoulder.
- 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: Koun Ejō Triple: [Dōgen, teacherOf, Koun Ejō]
Generated description
Koun Ejō was a prominent 13th-century Japanese Sōtō Zen monk who became Dōgen’s chief disciple and successor as head of the Eiheiji monastery.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Koun Ejō Target entity description: Koun Ejō was a prominent 13th-century Japanese Sōtō Zen monk who became Dōgen’s chief disciple and successor as head of the Eiheiji monastery.
-
A.
Enyō
Enyō is a minor Greek goddess associated with war, destruction, and the bloody chaos of battle, often depicted as a companion of Ares.
-
B.
Keiyo
Keiyo is a Southern Nilotic language spoken primarily by the Keiyo people of Kenya’s Rift Valley region.
-
C.
Kōjun
Kōjun was the posthumous name of Empress Kōjun, the wife of Emperor Shōwa (Hirohito) and mother of Emperor Emeritus Akihito of Japan.
-
D.
Kyojin
Kyojin is the popular nickname of the Yomiuri Giants, one of Japan’s most historic and successful professional baseball teams.
-
E.
Eikandō
Eikandō is a historic Buddhist temple in Kyoto, Japan, renowned for its autumn foliage and iconic statue of the Amida Buddha looking over its shoulder.
- 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e327d2b4e48190b7153f198639e9cd |
completed | April 18, 2026, 6:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c62614c8190acd6d211cab1be11 |
completed | May 10, 2026, 8:05 a.m. |
| NEDg | Description generation | batch_6a003dc6f4888190ae326c9606d2a674 |
completed | May 10, 2026, 8:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0041842cc88190b81432d234f9aa17 |
completed | May 10, 2026, 8:27 a.m. |
Created at: April 10, 2026, 5:09 a.m.