Triple

T16789944
Position Surface form Disambiguated ID Type / Status
Subject Kampaku E408079 entity
Predicate hasJapaneseName P9882 FINISHED
Object 関白
関白 was a powerful regent position in Japan’s classical court system, held by a noble who governed on behalf of an adult emperor.
 E1233348 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: 関白 | Statement: [Kampaku, hasJapaneseName, 関白]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 関白
Context triple: [Kampaku, hasJapaneseName, 関白]
  • A. Chika Fujiwara
    Chika Fujiwara is a bubbly, unpredictable, and musically talented student council member known for her comedic antics in the manga and anime series "Kaguya-sama: Love Is War."
  • B. 柴咲コウ
    柴咲コウ is a Japanese actress and singer known for her prominent roles in film and television as well as her successful music career.
  • C. Okamura Mika
    Okamura Mika is a Japanese individual notable enough to be specifically distinguished as a bearer of the surname Okamura.
  • D. SNEP
    SNEP is the French national music industry association that represents record labels and producers and oversees major music awards and charts in France.
  • E. Okamura Rina
    Okamura Rina is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Okamura, likely in the entertainment or cultural sphere.
  • 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: 関白
Triple: [Kampaku, hasJapaneseName, 関白]
Generated description
関白 was a powerful regent position in Japan’s classical court system, held by a noble who governed on behalf of an adult emperor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 関白
Target entity description: 関白 was a powerful regent position in Japan’s classical court system, held by a noble who governed on behalf of an adult emperor.
  • A. Chika Fujiwara
    Chika Fujiwara is a bubbly, unpredictable, and musically talented student council member known for her comedic antics in the manga and anime series "Kaguya-sama: Love Is War."
  • B. 柴咲コウ
    柴咲コウ is a Japanese actress and singer known for her prominent roles in film and television as well as her successful music career.
  • C. Okamura Mika
    Okamura Mika is a Japanese individual notable enough to be specifically distinguished as a bearer of the surname Okamura.
  • D. SNEP
    SNEP is the French national music industry association that represents record labels and producers and oversees major music awards and charts in France.
  • E. Okamura Rina
    Okamura Rina is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Okamura, likely in the entertainment or cultural sphere.
  • 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2a50e18819090a30e1f38e520e0 completed April 18, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00ab09932c8190ba16a349c4938c16 completed May 10, 2026, 3:58 p.m.
NEDg Description generation batch_6a00acaf3b8c8190820e0abbdd5f8811 completed May 10, 2026, 4:05 p.m.
NED2 Entity disambiguation (via description) batch_6a00ad4bb7a08190ba93bb05435e66b1 completed May 10, 2026, 4:07 p.m.
Created at: April 10, 2026, 5:22 a.m.