Triple

T20206196

Position	Surface form	Disambiguated ID	Type / Status
Subject	Sachiko	`E493357`	entity
Predicate	canBeWrittenAs	`P12679`	FINISHED
Object	咲子咲子 is a feminine Japanese given name typically written with kanji that evoke imagery of blooming flowers and childhood.	`E1417824`	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: 咲子 | Statement: [Sachiko, canBeWrittenAs, 咲子]

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

Target entity: 咲子
Context triple: [Sachiko, canBeWrittenAs, 咲子]

A. 山崎直子
山崎直子 is a Japanese engineer and former JAXA astronaut who flew aboard the Space Shuttle Discovery to the International Space Station in 2010.
B. 斎藤春子
斎藤春子は、日本の政治家で第19代内閣総理大臣を務めた斎藤実の妻として知られる人物である。
C. 佐藤良子
佐藤良子は、日本の女性の人名で、さまざまな分野で用いられる一般的な日本人名の一つである。
D. 吉田和子
吉田和子は、第92代内閣総理大臣を務めた麻生太郎の母親であり、政治家一族・吉田家の出身として知られる人物である。
E. 佐藤智子
佐藤智子は、日本語圏で一般的に見られる女性の人名である。
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: 咲子
Triple: [Sachiko, canBeWrittenAs, 咲子]

Generated description

咲子 is a feminine Japanese given name typically written with kanji that evoke imagery of blooming flowers and childhood.

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

Target entity: 咲子
Target entity description: 咲子 is a feminine Japanese given name typically written with kanji that evoke imagery of blooming flowers and childhood.

A. 山崎直子
山崎直子 is a Japanese engineer and former JAXA astronaut who flew aboard the Space Shuttle Discovery to the International Space Station in 2010.
B. 斎藤春子
斎藤春子は、日本の政治家で第19代内閣総理大臣を務めた斎藤実の妻として知られる人物である。
C. 佐藤良子
佐藤良子は、日本の女性の人名で、さまざまな分野で用いられる一般的な日本人名の一つである。
D. 吉田和子
吉田和子は、第92代内閣総理大臣を務めた麻生太郎の母親であり、政治家一族・吉田家の出身として知られる人物である。
E. 佐藤智子
佐藤智子は、日本語圏で一般的に見られる女性の人名である。
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_69da6269614c8190bb40475d9d477358`	completed	April 11, 2026, 3:02 p.m.
NER	Named-entity recognition	`batch_69e66d922ebc8190ae012da8ceba74dd`	completed	April 20, 2026, 6:16 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a0843ecd72c8190a605ccb8af032795`	completed	May 16, 2026, 10:16 a.m.
NEDg	Description generation	`batch_6a0845193350819088523da3087fe421`	completed	May 16, 2026, 10:21 a.m.
NED2	Entity disambiguation (via description)	`batch_6a0845e473088190a9a87fc83ece73d5`	completed	May 16, 2026, 10:24 a.m.

Created at: April 11, 2026, 11:38 p.m.