Triple

T3365954

Position	Surface form	Disambiguated ID	Type / Status
Subject	Kido Takayoshi	`E70835`	entity
Predicate	nativeName	`P15`	FINISHED
Object	桂小五郎桂小五郎（木戸孝允）は、長州藩出身で明治維新を主導した「維新三傑」の一人として知られる日本の武士・政治家です。	`E351837`	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: 桂小五郎 | Statement: [Kido Takayoshi, nativeName, 桂小五郎]

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

Target entity: 桂小五郎
Context triple: [Kido Takayoshi, nativeName, 桂小五郎]

A. 朝永振一郎
朝永振一郎 was a Japanese theoretical physicist and Nobel laureate renowned for his fundamental contributions to quantum electrodynamics.
B. 南次郎
南次郎（Jirō Minami）は、日中戦争期に朝鮮総督などを務めた日本の陸軍軍人・政治家です。
C. 西村祥治
西村祥治 was an Imperial Japanese Navy admiral during World War II who commanded major surface forces in the Pacific War.
D. 桂川
桂川は、京都市内を流れ嵐山の景観で知られる日本の代表的な河川の一つです。
E. 加藤友三郎
加藤友三郎 was a Japanese admiral and statesman who served as Prime Minister of Japan in the early 1920s.
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: 桂小五郎
Triple: [Kido Takayoshi, nativeName, 桂小五郎]

Generated description

桂小五郎（木戸孝允）は、長州藩出身で明治維新を主導した「維新三傑」の一人として知られる日本の武士・政治家です。

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

Target entity: 桂小五郎
Target entity description: 桂小五郎（木戸孝允）は、長州藩出身で明治維新を主導した「維新三傑」の一人として知られる日本の武士・政治家です。

A. 朝永振一郎
朝永振一郎 was a Japanese theoretical physicist and Nobel laureate renowned for his fundamental contributions to quantum electrodynamics.
B. 南次郎
南次郎（Jirō Minami）は、日中戦争期に朝鮮総督などを務めた日本の陸軍軍人・政治家です。
C. 西村祥治
西村祥治 was an Imperial Japanese Navy admiral during World War II who commanded major surface forces in the Pacific War.
D. 桂川
桂川は、京都市内を流れ嵐山の景観で知られる日本の代表的な河川の一つです。
E. 加藤友三郎
加藤友三郎 was a Japanese admiral and statesman who served as Prime Minister of Japan in the early 1920s.
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_69ad85a729d48190afd789cd8417f289`	completed	March 8, 2026, 2:20 p.m.
NER	Named-entity recognition	`batch_69adb287a30c8190b4c40091675c94fb`	completed	March 8, 2026, 5:31 p.m.
NED1	Entity disambiguation (via context triple)	`batch_69b325500eac8190b6f43864af8bda6c`	completed	March 12, 2026, 8:42 p.m.
NEDg	Description generation	`batch_69b329016c7c819098b494ae5d712036`	completed	March 12, 2026, 8:58 p.m.
NED2	Entity disambiguation (via description)	`batch_69b329aca800819091f287a2f00557a2`	completed	March 12, 2026, 9:01 p.m.

Created at: March 8, 2026, 3:13 p.m.