Triple

T12445066
Position Surface form Disambiguated ID Type / Status
Subject Nichiren E297376 entity
Predicate teacherOf P48 FINISHED
Object Nisshu
Nisshu was a Buddhist disciple of the Japanese monk Nichiren, known for helping to develop and spread Nichiren Buddhism.
 E987440 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: Nisshu | Statement: [Nichiren, teacherOf, Nisshu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nisshu
Context triple: [Nichiren, teacherOf, Nisshu]
  • A. Nisshoki
    Nisshoki, more commonly known as the Hinomaru, is the national flag of Japan featuring a red sun disc centered on a white field.
  • B. Ebisu
    Ebisu is a popular Japanese kami of prosperity, fishermen, and good fortune, often depicted as a cheerful, bearded man holding a fishing rod and sea bream.
  • C. Ebisu
    Ebisu is a fashionable Tokyo neighborhood known for its upscale dining, craft beer scene, and convenient access via Ebisu Station near Shibuya.
  • D. Nippani
    Nippani is a town in the northern part of Karnataka, India, known for its agriculture, small-scale industries, and location near the Maharashtra border.
  • E. Mibuchi
    Mibuchi is a Japanese surname borne by individuals such as Tadahiko Mibuchi.
  • 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: Nisshu
Triple: [Nichiren, teacherOf, Nisshu]
Generated description
Nisshu was a Buddhist disciple of the Japanese monk Nichiren, known for helping to develop and spread Nichiren Buddhism.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nisshu
Target entity description: Nisshu was a Buddhist disciple of the Japanese monk Nichiren, known for helping to develop and spread Nichiren Buddhism.
  • A. Nisshoki
    Nisshoki, more commonly known as the Hinomaru, is the national flag of Japan featuring a red sun disc centered on a white field.
  • B. Ebisu
    Ebisu is a fashionable Tokyo neighborhood known for its upscale dining, craft beer scene, and convenient access via Ebisu Station near Shibuya.
  • C. Ebisu
    Ebisu is a popular Japanese kami of prosperity, fishermen, and good fortune, often depicted as a cheerful, bearded man holding a fishing rod and sea bream.
  • D. Nippani
    Nippani is a town in the northern part of Karnataka, India, known for its agriculture, small-scale industries, and location near the Maharashtra border.
  • E. Mibuchi
    Mibuchi is a Japanese surname borne by individuals such as Tadahiko Mibuchi.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d90f18c819083a36ff4b9be4a20 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64b9f4dd08190b1d62b03d68cc8a6 completed May 2, 2026, 7:08 p.m.
NEDg Description generation batch_69f64f9c0e8c81908db3cad51daa77b6 completed May 2, 2026, 7:25 p.m.
NED2 Entity disambiguation (via description) batch_69f6504b033c8190a31f49f2e59c6810 completed May 2, 2026, 7:28 p.m.
Created at: April 8, 2026, 9:55 p.m.