Triple

T34443340
Position Surface form Disambiguated ID Type / Status
Subject 柳宗悦 E884153 entity
Predicate alternativeReading P181379 FINISHED
Object やなぎ むねよし
やなぎ むねよし（柳宗悦）は、日本の民藝運動を提唱し、美術評論家・思想家として知られる人物です。
 E2096127 NE FINISHED

How this triple was built (3 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: やなぎ むねよし | Statement: [柳宗悦, alternativeReading, やなぎ むねよし]
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: やなぎ むねよし
Triple: [柳宗悦, alternativeReading, やなぎ むねよし]
Generated description
やなぎ むねよし（柳宗悦）は、日本の民藝運動を提唱し、美術評論家・思想家として知られる人物です。
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: alternativeReading
Context triple: [柳宗悦, alternativeReading, やなぎ むねよし]
  • A. alternativeReader
    Indicates that one entity serves as an alternative or substitute reader for another entity or resource.
  • B. readingAid
    Indicates that one entity assists or facilitates another entity’s ability to read or engage in reading activities.
  • C. reading
    Indicates that an entity is engaged in the activity of interpreting and understanding written or printed material from another entity or source.
  • D. readingFeature
    Indicates that an entity possesses a characteristic, capability, or attribute specifically related to reading.
  • E. readingOf
    Indicates that one entity is an interpretation, measurement, or recorded value derived from another entity.
  • F. None of above. chosen

Provenance (7 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_69f7688dd3d08190ad13d0e780570a1c completed May 3, 2026, 3:23 p.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.
PD Predicate disambiguation batch_69f767fcf2f881908bacc7bfc38e68a5 completed May 3, 2026, 3:21 p.m.
PDg Predicate description generation batch_69f7688cea58819098bdfd7c80df7634 completed May 3, 2026, 3:23 p.m.
Created at: May 1, 2026, 2 a.m.