Triple

T15669891
Position Surface form Disambiguated ID Type / Status
Subject Japanese prints (Japonisme) E377278 entity
Predicate termRefersTo P111023 FINISHED
Object European fascination with Japanese art LITERAL 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: European fascination with Japanese art | Statement: [Japanese prints (Japonisme), termRefersTo, European fascination with Japanese art]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: termRefersTo
Context triple: [Japanese prints (Japonisme), termRefersTo, European fascination with Japanese art]
  • A. refersSpecificallyTo
    Indicates that one entity makes an explicit, precise reference to another particular entity, distinguishing it from more general or ambiguous references.
  • B. alsoRefersTo
    Indicates that one term, label, or identifier is used as an alternative designation for the same entity or concept as another.
  • C. relatedToTerm chosen
    Indicates a general, non-specific relationship or association between one term and another.
  • D. notablyRefersTo
    Indicates that one entity makes a particularly significant or noteworthy reference to another entity, beyond a routine or incidental mention.
  • E. refersToRole
    Indicates that one entity designates, mentions, or points to another entity specifically in its capacity as a role or position.
  • F. None of above.

Provenance (3 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f1254508190a77a16b7bfd299ad completed April 16, 2026, 2:53 a.m.
PD Predicate disambiguation batch_69deda8b36a4819081cb5708fe77ef51 completed April 15, 2026, 12:23 a.m.
Created at: April 10, 2026, 4:16 a.m.