Triple

T33300033
Position Surface form Disambiguated ID Type / Status
Subject Dexter (main title theme) E852553 entity
Predicate openingSequenceMotif P40259 FINISHED
Object mundane actions framed as violent imagery 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: mundane actions framed as violent imagery | Statement: [Dexter (main title theme), openingSequenceMotif, mundane actions framed as violent imagery]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: openingSequenceMotif
Context triple: [Dexter (main title theme), openingSequenceMotif, mundane actions framed as violent imagery]
  • A. openingMotif
    Indicates that one element serves as the initial recurring theme or pattern that introduces and sets the tone for another element, such as a work or sequence.
  • B. openingMotifDescription chosen
    Indicates a description of the initial recurring musical or thematic idea that begins a work or section.
  • C. openingSequenceType
    Indicates the specific kind or category of an opening sequence associated with an entity or event.
  • D. openingSequence
    Indicates the initial ordered set of actions or events that begin a process, performance, or interaction.
  • E. openingSequenceFormat
    Indicates the specific structural or stylistic format used for an opening sequence in a work or presentation.
  • 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_69f34966ed4c81908dc9dda82d8c7fe3 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f9fd6834cc8190aa27153d6a99f3bb completed May 5, 2026, 2:23 p.m.
PD Predicate disambiguation batch_69f7cf769338819092a5f42653dcc956 completed May 3, 2026, 10:43 p.m.
Created at: May 1, 2026, 1:33 a.m.