Triple

T17313481

Position	Surface form	Disambiguated ID	Type / Status
Subject	Ono	`E420360`	entity
Predicate	canBeWrittenAs	`P12679`	FINISHED
Object	尾野尾野 is a Japanese surname commonly used by individuals and occasionally for place names in Japan.	`E1261973`	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: 尾野 | Statement: [Ono, canBeWrittenAs, 尾野]

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07

Target entity: 尾野
Context triple: [Ono, canBeWrittenAs, 尾野]

A. 宇野宗佑
宇野宗佑は、1989年に短期間在任した日本の第75代内閣総理大臣であり、自由民主党所属の政治家です。
B. 永野修身
永野修身は、第二次世界大戦期に連合艦隊司令長官や軍令部総長を務めた日本海軍の軍人である。
C. 天野之弥
天野之弥（Yukiya Amano）は、国際原子力機関（IAEA）の事務局長を務めた日本の外交官です。
D. 天野川
天野川は大阪府交野市を流れる、七夕伝説や星にまつわるロマンチックな物語で知られる川です。
E. 辰野金吾
辰野金吾 was a prominent Japanese architect of the Meiji and Taishō eras, best known for designing landmark Western-style buildings such as Tokyo Station.
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: 尾野
Triple: [Ono, canBeWrittenAs, 尾野]

Generated description

尾野 is a Japanese surname commonly used by individuals and occasionally for place names in Japan.

NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07

Target entity: 尾野
Target entity description: 尾野 is a Japanese surname commonly used by individuals and occasionally for place names in Japan.

A. 宇野宗佑
宇野宗佑は、1989年に短期間在任した日本の第75代内閣総理大臣であり、自由民主党所属の政治家です。
B. 永野修身
永野修身は、第二次世界大戦期に連合艦隊司令長官や軍令部総長を務めた日本海軍の軍人である。
C. 天野之弥
天野之弥（Yukiya Amano）は、国際原子力機関（IAEA）の事務局長を務めた日本の外交官です。
D. 天野川
天野川は大阪府交野市を流れる、七夕伝説や星にまつわるロマンチックな物語で知られる川です。
E. 辰野金吾
辰野金吾 was a prominent Japanese architect of the Meiji and Taishō eras, best known for designing landmark Western-style buildings such as Tokyo Station.
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_69d889d22b848190a4663d0b8f8f76e7`	completed	April 10, 2026, 5:25 a.m.
NER	Named-entity recognition	`batch_69e4399a4194819091d34cd3fffc8072`	completed	April 19, 2026, 2:10 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a0180e6e830819097b33d6b99232727`	completed	May 11, 2026, 7:10 a.m.
NEDg	Description generation	`batch_6a01853590d081908f6523c55e4f610d`	completed	May 11, 2026, 7:28 a.m.
NED2	Entity disambiguation (via description)	`batch_6a01860e39788190bbf5ca5188352d95`	completed	May 11, 2026, 7:32 a.m.

Created at: April 10, 2026, 5:43 a.m.