Triple

T4696945
Position Surface form Disambiguated ID Type / Status
Subject No Mercy (1986 film score) E104168 entity
Predicate composerStyleCharacteristic P53017 FINISHED
Object use of suspenseful orchestration 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: use of suspenseful orchestration | Statement: [No Mercy (1986 film score), composerStyleCharacteristic, use of suspenseful orchestration]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: composerStyleCharacteristic
Context triple: [No Mercy (1986 film score), composerStyleCharacteristic, use of suspenseful orchestration]
  • A. characterStyle
    Indicates how a character is visually or typographically presented, such as its font, weight, size, or decorative attributes.
  • B. stylingFeature
    Indicates a visual or design-related characteristic applied to an entity, such as formatting, layout, or aesthetic treatment.
  • C. composerStyle chosen
    Indicates that one entity is a composer and the other represents the musical style or genre characteristic of that composer's work.
  • D. structuralStyle
    Indicates the architectural or design style that characterizes the structure or form of an entity.
  • E. styleSpecialty
    Indicates a relationship where an entity’s expertise, focus, or specialization is in a particular style or stylistic approach.
  • 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_69bd43df91f481908e9add1b617b60ef completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd650ad0f88190844bfcb46b3071c2 completed March 20, 2026, 3:17 p.m.
PD Predicate disambiguation batch_69bd621ba7448190a53ab1e2897acf71 completed March 20, 2026, 3:04 p.m.
Created at: March 20, 2026, 1:17 p.m.