Triple

T20136845
Position Surface form Disambiguated ID Type / Status
Subject Lafcadio: The Lion Who Shot Back E491044 entity
Predicate exploresContrast P32726 FINISHED
Object wild nature versus civilized society 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: wild nature versus civilized society | Statement: [Lafcadio: The Lion Who Shot Back, exploresContrast, wild nature versus civilized society]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: exploresContrast
Context triple: [Lafcadio: The Lion Who Shot Back, exploresContrast, wild nature versus civilized society]
  • A. exploresContrastBetween chosen
    Indicates a relationship in which one entity examines, highlights, or analyzes the differences or oppositions between two or more entities, ideas, or situations.
  • B. achievesContrast
    Indicates that one entity creates or enhances a visual or conceptual difference relative to another entity.
  • C. providesContrastWith
    Indicates that one entity is used to highlight differences or distinctions when compared with another entity.
  • D. createsContrastIn
    Indicates a relationship where one element is used to highlight or emphasize differences with another element within a given context.
  • E. directionalContrastWith
    Indicates a relationship where two elements differ specifically in their direction or orientation, highlighting a contrast in how they are spatially or directionally aligned.
  • 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_69da62651a0c8190a3e05e95e056a66b completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66767ba3881909c2bcb74a986bd29 completed April 20, 2026, 5:50 p.m.
PD Predicate disambiguation batch_69e54cfb0d0081908e789b9b57e96668 completed April 19, 2026, 9:45 p.m.
Created at: April 11, 2026, 11:32 p.m.