Triple

T14460790
Position Surface form Disambiguated ID Type / Status
Subject Yukito Kishiro E358577 entity
Predicate nativeName P15 FINISHED
Object 木城ゆきと
木城ゆきとは、日本の漫画家で、SFアクション作品『銃夢』(Battle Angel Alita)の作者として知られている人物です。
E1100896 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: 木城ゆきと | Statement: [Yukito Kishiro, nativeName, 木城ゆきと]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 木城ゆきと
Context triple: [Yukito Kishiro, nativeName, 木城ゆきと]
  • A. Okamura Sayaka
    Okamura Sayaka is a Japanese voice actress and singer known for her work in anime and related media.
  • B. Konekomaru Miwa
    Konekomaru Miwa is a studious and tactically minded young exorcist-in-training from the manga and anime series Blue Exorcist, known for his intelligence, loyalty, and strong sense of duty to his friends.
  • C. Koyama Mihoko
    Koyama Mihoko is a Japanese philanthropist and art collector best known as the founder and patron of the Miho Museum in Shiga Prefecture, Japan.
  • D. Sayaka Miki
    Sayaka Miki is a central magical girl character in the dark fantasy anime series Puella Magi Madoka Magica, known for her idealism, tragic transformation, and strong sense of justice.
  • E. Fumie Suguri
    Fumie Suguri is a Japanese figure skater known for her international success in the early 2000s, including multiple World Championship medals and Grand Prix titles.
  • 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: 木城ゆきと
Triple: [Yukito Kishiro, nativeName, 木城ゆきと]
Generated description
木城ゆきとは、日本の漫画家で、SFアクション作品『銃夢』(Battle Angel Alita)の作者として知られている人物です。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 木城ゆきと
Target entity description: 木城ゆきとは、日本の漫画家で、SFアクション作品『銃夢』(Battle Angel Alita)の作者として知られている人物です。
  • A. Okamura Sayaka
    Okamura Sayaka is a Japanese voice actress and singer known for her work in anime and related media.
  • B. Konekomaru Miwa
    Konekomaru Miwa is a studious and tactically minded young exorcist-in-training from the manga and anime series Blue Exorcist, known for his intelligence, loyalty, and strong sense of duty to his friends.
  • C. Koyama Mihoko
    Koyama Mihoko is a Japanese philanthropist and art collector best known as the founder and patron of the Miho Museum in Shiga Prefecture, Japan.
  • D. Sayaka Miki
    Sayaka Miki is a central magical girl character in the dark fantasy anime series Puella Magi Madoka Magica, known for her idealism, tragic transformation, and strong sense of justice.
  • E. Fumie Suguri
    Fumie Suguri is a Japanese figure skater known for her international success in the early 2000s, including multiple World Championship medals and Grand Prix titles.
  • 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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91abc1008190a19de4f8f0112c9d completed April 14, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6495660081908ab9db11939e74f7 completed May 8, 2026, 4:20 a.m.
NEDg Description generation batch_69fd65f9f5d88190997c76ba98859471 completed May 8, 2026, 4:26 a.m.
NED2 Entity disambiguation (via description) batch_69fd66a62da081908226d85d968dbbe6 completed May 8, 2026, 4:29 a.m.
Created at: April 10, 2026, 1:19 a.m.