Triple

T12359626
Position Surface form Disambiguated ID Type / Status
Subject Shinran E294699 entity
Predicate hadChild P6882 FINISHED
Object Kakunyo
Kakunyo was a Japanese Buddhist monk of the Jōdo Shinshū tradition, known for systematizing his grandfather Shinran’s teachings and compiling early histories of the sect.
E1126236 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: Kakunyo | Statement: [Shinran, hadChild, Kakunyo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kakunyo
Context triple: [Shinran, hadChild, Kakunyo]
  • A. Nakawa
    Nakawa is one of the energetic human hosts in Disney’s “Festival of the Lion King” stage show at Disney’s Animal Kingdom.
  • B. Kumaiwa
    Kumaiwa is a small settlement located on Butaritari Atoll in the island nation of Kiribati in the central Pacific Ocean.
  • C. Kasugo
    Kasugo is a specific class or rank within the Philippine Order of Sikatuna, a national honor conferred for distinguished diplomatic service.
  • D. Yonashiro
    Yonashiro was a former town in Okinawa Prefecture, Japan, that later became part of the city of Uruma through municipal merger.
  • E. Kanmaki
    Kanmaki is a town in Nara Prefecture, Japan, known as a residential community within the Kansai region.
  • 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: Kakunyo
Triple: [Shinran, hadChild, Kakunyo]
Generated description
Kakunyo was a Japanese Buddhist monk of the Jōdo Shinshū tradition, known for systematizing his grandfather Shinran’s teachings and compiling early histories of the sect.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kakunyo
Target entity description: Kakunyo was a Japanese Buddhist monk of the Jōdo Shinshū tradition, known for systematizing his grandfather Shinran’s teachings and compiling early histories of the sect.
  • A. Nakawa
    Nakawa is one of the energetic human hosts in Disney’s “Festival of the Lion King” stage show at Disney’s Animal Kingdom.
  • B. Kumaiwa
    Kumaiwa is a small settlement located on Butaritari Atoll in the island nation of Kiribati in the central Pacific Ocean.
  • C. Kasugo
    Kasugo is a specific class or rank within the Philippine Order of Sikatuna, a national honor conferred for distinguished diplomatic service.
  • D. Yonashiro
    Yonashiro was a former town in Okinawa Prefecture, Japan, that later became part of the city of Uruma through municipal merger.
  • E. Kanmaki
    Kanmaki is a town in Nara Prefecture, Japan, known as a residential community within the Kansai region.
  • 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_69d6ab6d8a4081908636601e69ddf262 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f90201481909359416b8b9f7871 completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b366470819093a74828e2a85116 completed May 8, 2026, 11:01 p.m.
NEDg Description generation batch_69fe6c2b7ec08190ba0b4a30cbb738e8 completed May 8, 2026, 11:05 p.m.
NED2 Entity disambiguation (via description) batch_69fe6fff4f408190ac51668da19db284 completed May 8, 2026, 11:21 p.m.
Created at: April 8, 2026, 9:54 p.m.