Triple

T10764934
Position Surface form Disambiguated ID Type / Status
Subject Yanagi Sōetsu E253929 entity
Predicate familyName P18 FINISHED
Object Yanagi
Yanagi is a Japanese surname most famously associated with Yanagi Sōetsu, the founder of the mingei (folk craft) movement.
 E997635 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: Yanagi | Statement: [Yanagi Sōetsu, familyName, Yanagi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yanagi
Context triple: [Yanagi Sōetsu, familyName, Yanagi]
  • A. Matsuura
    Matsuura is a coastal city in southwestern Japan known for its fishing industry and scenic seaside landscapes within Nagasaki Prefecture.
  • B. Yukuhashi
    Yukuhashi is a city in eastern Fukuoka Prefecture, Japan, known as a regional commercial and transportation hub on Kyushu.
  • C. Yamaga
    Yamaga is a historic city in Japan known for its traditional lantern festival and hot spring resorts in northern Kumamoto Prefecture.
  • D. Yamakita
    Yamakita is a rural town in Kanagawa Prefecture, Japan, known for its mountainous terrain, hot springs, and access to outdoor activities such as hiking and river sports.
  • E. Yoshino
    Yoshino is a historic mountainous area in Japan renowned for its thousands of cherry trees, religious sites, and role as a major center of Shugendō mountain worship.
  • 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: Yanagi
Triple: [Yanagi Sōetsu, familyName, Yanagi]
Generated description
Yanagi is a Japanese surname most famously associated with Yanagi Sōetsu, the founder of the mingei (folk craft) movement.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yanagi
Target entity description: Yanagi is a Japanese surname most famously associated with Yanagi Sōetsu, the founder of the mingei (folk craft) movement.
  • A. Matsuura
    Matsuura is a coastal city in southwestern Japan known for its fishing industry and scenic seaside landscapes within Nagasaki Prefecture.
  • B. Yukuhashi
    Yukuhashi is a city in eastern Fukuoka Prefecture, Japan, known as a regional commercial and transportation hub on Kyushu.
  • C. Yamaga
    Yamaga is a historic city in Japan known for its traditional lantern festival and hot spring resorts in northern Kumamoto Prefecture.
  • D. Yamakita
    Yamakita is a rural town in Kanagawa Prefecture, Japan, known for its mountainous terrain, hot springs, and access to outdoor activities such as hiking and river sports.
  • E. Yoshino
    Yoshino is a historic mountainous area in Japan renowned for its thousands of cherry trees, religious sites, and role as a major center of Shugendō mountain worship.
  • 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_69d6aa5f54f4819082d0bbcb6f8797e6 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d731a5d5248190badfc5a8ab0215d6 completed April 9, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69f671788ec88190852df74698bc4518 completed May 2, 2026, 9:49 p.m.
NEDg Description generation batch_69f67285019c8190be831d3f72cf121f completed May 2, 2026, 9:54 p.m.
NED2 Entity disambiguation (via description) batch_69f6732ea7408190a95f0a5f983dfdb7 completed May 2, 2026, 9:57 p.m.
Created at: April 8, 2026, 9:16 p.m.