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.