Triple

T27802386

Position	Surface form	Disambiguated ID	Type / Status
Subject	源氏	`E702279`	entity
Predicate	relatedTerm	`P37`	FINISHED
Object	藤原氏藤原氏は、古代から中世にかけて日本の政治・文化の中枢を担い、摂関政治を通じて天皇権力を事実上掌握した有力貴族一門である。	`E1788856`	NE FINISHED

How this triple was built (2 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: 藤原氏 | Statement: [源氏, relatedTerm, 藤原氏]

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: 藤原氏
Triple: [源氏, relatedTerm, 藤原氏]

Generated description

藤原氏は、古代から中世にかけて日本の政治・文化の中枢を担い、摂関政治を通じて天皇権力を事実上掌握した有力貴族一門である。

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_69ef8408e0588190977cffa32dc33a29`	completed	April 27, 2026, 3:43 p.m.
NER	Named-entity recognition	`batch_69f63837d8c881908afb5ff38b4bee73`	completed	May 2, 2026, 5:45 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a12ecd2c9308190a9f9d2f3d9f52c32`	completed	May 24, 2026, 12:19 p.m.
NEDg	Description generation	`batch_6a12ed68ab588190a2247672cc7818d8`	completed	May 24, 2026, 12:22 p.m.
NED2	Entity disambiguation (via description)	`batch_6a12ee56948881908c58657e262882a0`	completed	May 24, 2026, 12:25 p.m.

Created at: April 27, 2026, 5:35 p.m.