Triple

T11749617
Position Surface form Disambiguated ID Type / Status
Subject Ikebana E279371 entity
Predicate hasSchool P113 FINISHED
Object Ikenobo
Ikenobo is the oldest and most traditional school of Japanese flower arranging (ikebana), renowned for codifying many of the art’s classical styles and principles.
 E948830 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: Ikenobo | Statement: [Ikebana, hasSchool, Ikenobo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ikenobo
Context triple: [Ikebana, hasSchool, Ikenobo]
  • A. Shikaoi
    Shikaoi is a rural town in Hokkaido, Japan, known for its natural scenery, agriculture, and access to outdoor activities such as hiking and hot springs.
  • B. Fukusaki
    Fukusaki is a town in Hyōgo Prefecture, Japan, known for its rural setting and association with folklorist Kunio Yanagita.
  • C. Takamikura
    Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
  • D. Sankashū
    Sankashū is a renowned anthology of waka poetry by the Japanese poet-monk Saigyō, celebrated for its deeply reflective and nature-focused verse from the late Heian period.
  • E. Uraku
    Uraku is a Japanese surname associated with individuals such as Akinobu Uraku.
  • 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: Ikenobo
Triple: [Ikebana, hasSchool, Ikenobo]
Generated description
Ikenobo is the oldest and most traditional school of Japanese flower arranging (ikebana), renowned for codifying many of the art’s classical styles and principles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ikenobo
Target entity description: Ikenobo is the oldest and most traditional school of Japanese flower arranging (ikebana), renowned for codifying many of the art’s classical styles and principles.
  • A. Shikaoi
    Shikaoi is a rural town in Hokkaido, Japan, known for its natural scenery, agriculture, and access to outdoor activities such as hiking and hot springs.
  • B. Fukusaki
    Fukusaki is a town in Hyōgo Prefecture, Japan, known for its rural setting and association with folklorist Kunio Yanagita.
  • C. Takamikura
    Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
  • D. Sankashū
    Sankashū is a renowned anthology of waka poetry by the Japanese poet-monk Saigyō, celebrated for its deeply reflective and nature-focused verse from the late Heian period.
  • E. Uraku
    Uraku is a Japanese surname associated with individuals such as Akinobu Uraku.
  • 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_69f1308339ac8190b579a8c1bee2a2c2 completed April 28, 2026, 10:11 p.m.
NEDg Description generation batch_69f138b5f8988190a7ff95095eafd0b1 completed April 28, 2026, 10:46 p.m.
NED2 Entity disambiguation (via description) batch_69f14e9b30a88190a054961a2f7fc80d completed April 29, 2026, 12:19 a.m.
Created at: April 8, 2026, 9:41 p.m.