Triple

T8953171
Position Surface form Disambiguated ID Type / Status
Subject Shinkokin Wakashū E213406 entity
Predicate editor P1954 FINISHED
Object Jien
Jien was a Japanese Buddhist monk, historian, and poet of the late Heian and early Kamakura periods, known for his influential writings on politics and history.
 E767932 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: Jien | Statement: [Shinkokin Wakashū, editor, Jien]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jien
Context triple: [Shinkokin Wakashū, editor, Jien]
  • A. Jaku
    Jaku is a lesser-known Bantu language belonging to the Jarawan subgroup, spoken by a small community in West Africa.
  • B. Waras
    Waras is a significant town in Afghanistan’s central highland region of Hazarajat, serving as an important local hub for the surrounding Hazara communities.
  • C. Pojan
    Pojan is a village in southern Albania located near the ancient Illyrian city of Apollonia.
  • D. Kugu
    Kugu is an Aboriginal Australian language group traditionally associated with the Aurukun region of western Cape York Peninsula in Queensland.
  • E. Ninji
    Ninji is a small, black, ninja-like creature from the Super Mario series known for its leaping attacks and appearances as a recurring enemy.
  • 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: Jien
Triple: [Shinkokin Wakashū, editor, Jien]
Generated description
Jien was a Japanese Buddhist monk, historian, and poet of the late Heian and early Kamakura periods, known for his influential writings on politics and history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jien
Target entity description: Jien was a Japanese Buddhist monk, historian, and poet of the late Heian and early Kamakura periods, known for his influential writings on politics and history.
  • A. Jaku
    Jaku is a lesser-known Bantu language belonging to the Jarawan subgroup, spoken by a small community in West Africa.
  • B. Waras
    Waras is a significant town in Afghanistan’s central highland region of Hazarajat, serving as an important local hub for the surrounding Hazara communities.
  • C. Pojan
    Pojan is a village in southern Albania located near the ancient Illyrian city of Apollonia.
  • D. Kugu
    Kugu is an Aboriginal Australian language group traditionally associated with the Aurukun region of western Cape York Peninsula in Queensland.
  • E. Ninji
    Ninji is a small, black, ninja-like creature from the Super Mario series known for its leaping attacks and appearances as a recurring enemy.
  • 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_69ca8399ad2081909f8fa41d4314c215 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc670f88d0819085d7308a5cf6c764 completed April 1, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc210302c8190b1c062fcbcfeb0f6 completed April 3, 2026, 1:35 p.m.
NEDg Description generation batch_69cfc34eba0881908155770166639481 completed April 3, 2026, 1:40 p.m.
NED2 Entity disambiguation (via description) batch_69cfc41fca3081908d8c2515c98283de completed April 3, 2026, 1:43 p.m.
Created at: March 30, 2026, 7 p.m.