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.