Triple

T37521653
Position Surface form Disambiguated ID Type / Status
Subject The Farmer’s Return from London E932791 entity
Predicate hasHumorousPortrayalOf P43127 FINISHED
Object a country farmer’s impressions of London 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: a country farmer’s impressions of London | Statement: [The Farmer’s Return from London, hasHumorousPortrayalOf, a country farmer’s impressions of London]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasHumorousPortrayalOf
Context triple: [The Farmer’s Return from London, hasHumorousPortrayalOf, a country farmer’s impressions of London]
  • A. hasHumorousTreatmentOf chosen
    Indicates that one entity presents or portrays another entity in a humorous, comedic, or joking manner.
  • B. isHumorousCharacter
    Indicates that the character is portrayed in a humorous way or primarily serves a comedic role in the context.
  • C. satirizedBy
    Indicates that the subject is the target or object of satire created or performed by the specified entity.
  • D. wasPortrayedAs
    Indicates that one entity has been depicted or represented in the form or role of another entity, typically within some medium or context.
  • E. hasHumorousSubplotActor
    Indicates that an actor participates in or is responsible for a humorous subplot within a larger work.
  • 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_69f76ec730988190b5aa4f9cb9afd518 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fbc36ce1f88190a7fa1656b714e107 completed May 6, 2026, 10:40 p.m.
PD Predicate disambiguation batch_69fbbd13595c81908719f52c3d37a7e8 completed May 6, 2026, 10:13 p.m.
Created at: May 3, 2026, 4:17 p.m.