Triple

T1623358
Position Surface form Disambiguated ID Type / Status
Subject Aestheticism E35081 entity
Predicate aestheticPreference P16367 FINISHED
Object formal beauty and harmony 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: formal beauty and harmony | Statement: [Aestheticism, aestheticPreference, formal beauty and harmony]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: aestheticPreference
Context triple: [Aestheticism, aestheticPreference, formal beauty and harmony]
  • A. styleTendsTo
    Indicates that one style is generally inclined or likely to develop, appear, or be adopted in the direction of another style.
  • B. marketPreference
    Indicates a relationship where one entity favors, targets, or prioritizes a particular market or market segment over others.
  • C. appearance
    Indicates how something looks or seems to an observer, including its visible form, condition, or outward impression.
  • D. artisticCharacteristic chosen
    Indicates that one entity possesses or exhibits a particular artistic quality, style, or trait in relation to another.
  • E. artisticStyle
    Indicates the artistic movement, style, or aesthetic approach that characterizes how something is created or visually expressed.
  • 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_69a886023194819080a3fccd6e325d0e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aaf4a0ef748190ae52b9656474c0ef completed March 6, 2026, 3:37 p.m.
PD Predicate disambiguation batch_69a907c731808190a1d998155041b3c1 completed March 5, 2026, 4:34 a.m.
Created at: March 4, 2026, 7:28 p.m.