Triple

T9153365

Position	Surface form	Disambiguated ID	Type / Status
Subject	Kato	`E219644`	entity
Predicate	isRomanizationOf	`P2508`	FINISHED
Object	加藤加藤 is a common Japanese surname borne by numerous individuals across various fields such as politics, entertainment, and sports.	`E779947`	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: 加藤 | Statement: [Kato, isRomanizationOf, 加藤]

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

Target entity: 加藤
Context triple: [Kato, isRomanizationOf, 加藤]

A. 佐藤
佐藤 is a very common Japanese surname, often romanized as Satō or Sato.
B. 佐藤信介
佐藤信介は、戦後日本の保守政治を主導し第56・57代内閣総理大臣を務めた政治家・岸信介の本名である。
C. 斎藤邦太郎
斎藤邦太郎は、日本の政治家・第30代内閣総理大臣である斎藤実の子として知られる人物である。
D. 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。
E. 吉田健一
吉田健一は、戦後日本を代表する首相・吉田茂の長男であり、英文学者・評論家として知られる文学者である。
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: 加藤
Triple: [Kato, isRomanizationOf, 加藤]

Generated description

加藤 is a common Japanese surname borne by numerous individuals across various fields such as politics, entertainment, and sports.

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

Target entity: 加藤
Target entity description: 加藤 is a common Japanese surname borne by numerous individuals across various fields such as politics, entertainment, and sports.

A. 佐藤
佐藤 is a very common Japanese surname, often romanized as Satō or Sato.
B. 佐藤信介
佐藤信介は、戦後日本の保守政治を主導し第56・57代内閣総理大臣を務めた政治家・岸信介の本名である。
C. 斎藤邦太郎
斎藤邦太郎は、日本の政治家・第30代内閣総理大臣である斎藤実の子として知られる人物である。
D. 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。
E. 吉田健一
吉田健一は、戦後日本を代表する首相・吉田茂の長男であり、英文学者・評論家として知られる文学者である。
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_69ca83e25418819093c6503deeaf30de`	completed	March 30, 2026, 2:08 p.m.
NER	Named-entity recognition	`batch_69cca96e323881909cbf4d6708f24f79`	completed	April 1, 2026, 5:13 a.m.
NED1	Entity disambiguation (via context triple)	`batch_69d04846544481909012f5c7fbbf3b0a`	completed	April 3, 2026, 11:07 p.m.
NEDg	Description generation	`batch_69d048dcd7448190bee7509495e964eb`	completed	April 3, 2026, 11:10 p.m.
NED2	Entity disambiguation (via description)	`batch_69d049b6a0188190b52f833795a8ad05`	completed	April 3, 2026, 11:13 p.m.

Created at: March 30, 2026, 7:20 p.m.