Triple

T8049651
Position Surface form Disambiguated ID Type / Status
Subject Richard Buckner E187641 entity
Predicate usesPoeticDevice P60474 FINISHED
Object imagery 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: imagery | Statement: [Richard Buckner, usesPoeticDevice, imagery]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesPoeticDevice
Context triple: [Richard Buckner, usesPoeticDevice, imagery]
  • A. hasPoeticDevice chosen
    Indicates that one entity (typically a text or passage) employs or contains a specific poetic device present in the other entity.
  • B. lyricalDevice
    Indicates the use of a specific poetic or musical technique within lyrics to achieve a particular expressive or aesthetic effect.
  • C. rhetoricalDevice
    Indicates that one entity is used as a rhetorical device in relation to another, such as a figure of speech, stylistic technique, or persuasive strategy within a discourse.
  • D. poeticStyle
    Indicates the stylistic or formal manner in which something is expressed in poetry, such as its structure, tone, and linguistic features.
  • E. poeticStructure
    Indicates a relationship where one entity defines, embodies, or specifies the formal poetic organization (such as meter, rhyme scheme, or stanza pattern) used by another entity.
  • 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_69ca82b15e948190a62fd7af5218426a completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3f7826288190b2f292a7d34fcd80 completed March 31, 2026, 3:28 a.m.
PD Predicate disambiguation batch_69cb049a1b9c8190811c396421ebf9c9 completed March 30, 2026, 11:17 p.m.
Created at: March 30, 2026, 5:24 p.m.