Triple
T11749652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sesshū Tōyō |
E279372
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object |
雪舟 等楊
雪舟 等楊 was a prominent Japanese Zen Buddhist monk and master ink painter of the Muromachi period, renowned for his influential landscape paintings.
|
E944845
|
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: 雪舟 等楊 | Statement: [Sesshū Tōyō, nativeName, 雪舟 等楊]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 雪舟 等楊 Context triple: [Sesshū Tōyō, nativeName, 雪舟 等楊]
-
A.
船木和喜
船木和喜 is a Japanese former ski jumper best known for winning two gold medals and one silver at the 1998 Nagano Winter Olympics.
-
B.
萧子升
萧子升 was a Chinese educator, writer, and early associate of Mao Zedong who played a notable role in the New Culture and early revolutionary movements of 20th-century China.
-
C.
紙山
紙山 is a Japanese surname and place name written with the characters for “paper” and “mountain.”
-
D.
於茂登岳
於茂登岳 is the highest mountain on Ishigaki Island in Okinawa Prefecture, Japan, known for its subtropical forests and panoramic views of the surrounding islands.
-
E.
百丈懷海
百丈懷海 was an influential Tang dynasty Chan (Zen) Buddhist master known for establishing monastic regulations and emphasizing meditation in daily labor.
- 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: 雪舟 等楊 Triple: [Sesshū Tōyō, nativeName, 雪舟 等楊]
Generated description
雪舟 等楊 was a prominent Japanese Zen Buddhist monk and master ink painter of the Muromachi period, renowned for his influential landscape paintings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 雪舟 等楊 Target entity description: 雪舟 等楊 was a prominent Japanese Zen Buddhist monk and master ink painter of the Muromachi period, renowned for his influential landscape paintings.
-
A.
船木和喜
船木和喜 is a Japanese former ski jumper best known for winning two gold medals and one silver at the 1998 Nagano Winter Olympics.
-
B.
萧子升
萧子升 was a Chinese educator, writer, and early associate of Mao Zedong who played a notable role in the New Culture and early revolutionary movements of 20th-century China.
-
C.
紙山
紙山 is a Japanese surname and place name written with the characters for “paper” and “mountain.”
-
D.
於茂登岳
於茂登岳 is the highest mountain on Ishigaki Island in Okinawa Prefecture, Japan, known for its subtropical forests and panoramic views of the surrounding islands.
-
E.
百丈懷海
百丈懷海 was an influential Tang dynasty Chan (Zen) Buddhist master known for establishing monastic regulations and emphasizing meditation in daily labor.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a508b0c4819082fbcc27d559ea2f |
completed | April 10, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f01a0492b48190b6f2e3cf36b4f537 |
completed | April 28, 2026, 2:23 a.m. |
| NEDg | Description generation | batch_69f0319520dc8190817c5e75ddb7d40b |
completed | April 28, 2026, 4:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f05ad36e4c8190b7239e5b33713369 |
completed | April 28, 2026, 6:59 a.m. |
Created at: April 8, 2026, 9:41 p.m.