Triple

T7273871
Position Surface form Disambiguated ID Type / Status
Subject Stoolbend Mall E161174 entity
Predicate usedAsPlotDeviceFor P23847 FINISHED
Object everyday life situations 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: everyday life situations | Statement: [Stoolbend Mall, usedAsPlotDeviceFor, everyday life situations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedAsPlotDeviceFor
Context triple: [Stoolbend Mall, usedAsPlotDeviceFor, everyday life situations]
  • A. centralPlotDevice
    Indicates that one entity functions as the main narrative mechanism or element around which the plot of the other entity is structured.
  • B. hasNarrativeDevice chosen
    Indicates that one entity employs, contains, or is characterized by a particular narrative device used in storytelling or discourse.
  • C. usedAsTrope
    Indicates that something functions as a recurring narrative device, motif, or cliché within a story or set of stories.
  • D. wasUsedBy
    Indicates that something served as a tool, resource, or means for an agent to perform an action or achieve a result.
  • E. fictionalUse
    Indicates that one entity makes use of another within a fictional or imaginary context, rather than in real-world usage.
  • 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_69c6885181008190b419040e22939c7c completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb8a0b4881908ff27c5a75bd4a95 completed March 27, 2026, 8:41 p.m.
PD Predicate disambiguation batch_69c6e76a84a081908d4184c55b728e48 completed March 27, 2026, 8:24 p.m.
Created at: March 27, 2026, 2:58 p.m.