Triple

T34443370
Position Surface form Disambiguated ID Type / Status
Subject 柳宗悦 E884153 entity
Predicate child P120 FINISHED
Object 柳宗理
柳宗理は、日本の工業デザイン界を代表するデザイナーであり、日常生活用品の機能美を追求した作品で国際的にも高く評価された人物です。
 E2096132 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: 柳宗理 | Statement: [柳宗悦, child, 柳宗理]
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: 柳宗理
Triple: [柳宗悦, child, 柳宗理]
Generated description
柳宗理は、日本の工業デザイン界を代表するデザイナーであり、日常生活用品の機能美を追求した作品で国際的にも高く評価された人物です。

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_69f349c548d88190978e2a82502c03d0 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f7194bcec88190a0f36937b0eff669 completed May 3, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a37183d20ac8190b5b163c73ea7ba67 completed June 20, 2026, 10:46 p.m.
NEDg Description generation batch_6a3718ac3e888190ae09adc2f6507e91 completed June 20, 2026, 10:48 p.m.
NED2 Entity disambiguation (via description) batch_6a37192386e08190a954074052306e82 completed June 20, 2026, 10:50 p.m.
Created at: May 1, 2026, 2 a.m.