Triple

T30640078
Position Surface form Disambiguated ID Type / Status
Subject 加藤氏 E779949 entity
Predicate hasClanLineage P133545 FINISHED
Object 菅原氏流
菅原氏流 is a lineage of the ancient Sugawara clan, a prestigious kuge (court noble) family in Japan known for its scholarly and literary traditions.
E1924518 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: 菅原氏流 | Statement: [加藤氏, hasClanLineage, 菅原氏流]
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: 菅原氏流
Triple: [加藤氏, hasClanLineage, 菅原氏流]
Generated description
菅原氏流 is a lineage of the ancient Sugawara clan, a prestigious kuge (court noble) family in Japan known for its scholarly and literary traditions.

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_69f224a50ebc81909b961a94c7f66b12 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f7cf7ac7948190963fcc81d48d2670 completed May 3, 2026, 10:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2863f45fe08190b9444199303a07b9 completed June 9, 2026, 7:05 p.m.
NEDg Description generation batch_6a28683a08c48190992c65e4ebd02e56 completed June 9, 2026, 7:23 p.m.
NED2 Entity disambiguation (via description) batch_6a2868fa5d1c81909ec9422f7d152a75 completed June 9, 2026, 7:26 p.m.
Created at: April 29, 2026, 8:29 p.m.