Triple

T32284491
Position Surface form Disambiguated ID Type / Status
Subject Kansas (fictional setting of the film) E824787 entity
Predicate diegeticEnvironment P20834 FINISHED
Object agricultural community 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: agricultural community | Statement: [Kansas (fictional setting of the film), diegeticEnvironment, agricultural community]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: diegeticEnvironment
Context triple: [Kansas (fictional setting of the film), diegeticEnvironment, agricultural community]
  • A. diegeticStatus
    Indicates the relationship between an element and the narrative world, specifying whether it exists within the story’s reality (perceivable by characters) or outside it (only for the audience).
  • B. diegeticControlBy
    Indicates that one entity exerts control or influence over another within the narrative or fictional world itself, as part of the story’s internal reality.
  • C. placeOfSetting chosen
    Indicates the location or environment where an event, scene, or situation takes place.
  • D. ambientSpace
    Indicates the surrounding or containing space within which an object, structure, or geometric entity is situated or defined.
  • E. diegeticPerformer
    Indicates that an entity performs within the narrative world itself, as a character or in-story performer, rather than as an external or non-diegetic contributor.
  • 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_69f3490f404081908450db66884f4334 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6bcce457c819091b711d6cc66c980 completed May 3, 2026, 3:11 a.m.
PD Predicate disambiguation batch_69f6ba6cef208190bc5cd43d96127004 completed May 3, 2026, 3:01 a.m.
Created at: May 1, 2026, 12:43 a.m.