Triple

T12839673

Position	Surface form	Disambiguated ID	Type / Status
Subject	Shuji	`E307015`	entity
Predicate	canBeWrittenAs	`P12679`	FINISHED
Object	修司修司 is a Japanese given name, often romanized as Shuji, used for males.	`E1003589`	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: 修司 | Statement: [Shuji, canBeWrittenAs, 修司]

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

Target entity: 修司
Context triple: [Shuji, canBeWrittenAs, 修司]

A. 聖司
聖司 is a masculine Japanese given name, typically read as "Seiji," that combines characters meaning "holy" or "sacred" and "administrator" or "officer."
B. 勝矢
勝矢 is a Japanese masculine given name and surname that can be written with kanji meaning “victory” and “arrow.”
C. 成澤廣修
成澤廣修は、日本の政治家で、東京都文京区の区政を長年担ってきた区長として知られている人物である。
D. 佐藤
佐藤 is a very common Japanese surname, often romanized as Satō or Sato.
E. 佐藤市郎
佐藤市郎は、日本の政治家・岸信介の親族にあたる人物である。
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: 修司
Triple: [Shuji, canBeWrittenAs, 修司]

Generated description

修司 is a Japanese given name, often romanized as Shuji, used for males.

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

Target entity: 修司
Target entity description: 修司 is a Japanese given name, often romanized as Shuji, used for males.

A. 聖司
聖司 is a masculine Japanese given name, typically read as "Seiji," that combines characters meaning "holy" or "sacred" and "administrator" or "officer."
B. 勝矢
勝矢 is a Japanese masculine given name and surname that can be written with kanji meaning “victory” and “arrow.”
C. 成澤廣修
成澤廣修は、日本の政治家で、東京都文京区の区政を長年担ってきた区長として知られている人物である。
D. 佐藤
佐藤 is a very common Japanese surname, often romanized as Satō or Sato.
E. 佐藤市郎
佐藤市郎は、日本の政治家・岸信介の親族にあたる人物である。
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_69d7bdf52b94819096d6f0ba4ab50a98`	completed	April 9, 2026, 2:55 p.m.
NER	Named-entity recognition	`batch_69d96ff11b4481909fb2f92c46186853`	completed	April 10, 2026, 9:47 p.m.
NED1	Entity disambiguation (via context triple)	`batch_69f68edd30e881909062e8f91f614990`	completed	May 2, 2026, 11:55 p.m.
NEDg	Description generation	`batch_69f68f8e29508190b9c5b5ed88631bf8`	completed	May 2, 2026, 11:58 p.m.
NED2	Entity disambiguation (via description)	`batch_69f69006c0288190a49ba8714cd19959`	completed	May 3, 2026, midnight

Created at: April 9, 2026, 5:35 p.m.