Triple

T5633354
Position Surface form Disambiguated ID Type / Status
Subject Catsmeat Potter-Pirbright E147885 entity
Predicate literaryStyleContext P55714 FINISHED
Object light-hearted farce 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: light-hearted farce | Statement: [Catsmeat Potter-Pirbright, literaryStyleContext, light-hearted farce]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: literaryStyleContext
Context triple: [Catsmeat Potter-Pirbright, literaryStyleContext, light-hearted farce]
  • A. hasLiteraryContext chosen
    Indicates that something is associated with, situated within, or explained by a particular literary context (such as a work, genre, period, or interpretive framework).
  • B. literaryLanguage
    Indicates that an entity is expressed, written, or communicated using a particular literary or standardized written language.
  • C. rhetoricalStyle
    Indicates the characteristic manner or technique of expression used in communication, such as tone, structure, and persuasive strategies.
  • D. literaryInfluence
    Indicates that one entity has had a significant impact on the style, themes, or development of another entity’s literary work.
  • E. poeticStyle
    Indicates the stylistic or formal manner in which something is expressed in poetry, such as its structure, tone, and linguistic features.
  • 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_69c00907bc8881909ed760d3ed73ef35 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0225ff3248190b93c9f5887553fd4 completed March 22, 2026, 5:09 p.m.
PD Predicate disambiguation batch_69c01b1f12ec8190b4b9d9ee31cabe19 completed March 22, 2026, 4:38 p.m.
Created at: March 22, 2026, 3:41 p.m.