Triple

T32677347
Position Surface form Disambiguated ID Type / Status
Subject Rainbow (Kacey Musgraves song) E835465 entity
Predicate targetAudienceEmotion P63081 FINISHED
Object listeners experiencing anxiety or hardship 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: listeners experiencing anxiety or hardship | Statement: [Rainbow (Kacey Musgraves song), targetAudienceEmotion, listeners experiencing anxiety or hardship]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: targetAudienceEmotion
Context triple: [Rainbow (Kacey Musgraves song), targetAudienceEmotion, listeners experiencing anxiety or hardship]
  • A. intendedEmotion chosen
    Indicates the emotion that an action, expression, or communication is meant to evoke in its target, regardless of the actual emotion experienced.
  • B. emotionSpectrumAffiliation
    Indicates an entity’s association or alignment with a particular range or category of emotions along an emotional spectrum.
  • C. targetAudienceRatingContext
    Indicates the contextual conditions or setting (such as platform, region, or usage scenario) under which a particular audience rating is intended to apply.
  • D. requiresEmotion
    Indicates that one entity’s occurrence, validity, or performance depends on the presence or experience of a particular emotion in another entity.
  • E. emotionEffect
    Indicates that one entity’s emotional state causes or influences a change in another entity’s feelings, behavior, or condition.
  • 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_69f3493134b48190aa3c8cb523bd3800 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69fe0d165a48819098b854318a50d76c completed May 8, 2026, 4:19 p.m.
PD Predicate disambiguation batch_69fe0931002481908a95b34f95e9f64e completed May 8, 2026, 4:02 p.m.
Created at: May 1, 2026, 1:09 a.m.