Triple

T2737533
Position Surface form Disambiguated ID Type / Status
Subject Twista E60664 entity
Predicate notableWork P4 FINISHED
Object Emotions
"Emotions" is a song by Chicago rapper Twista that showcases his rapid-fire delivery and introspective lyricism.
E293979 NE FINISHED

How this triple was built (4 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: Emotions | Statement: [Twista, notableWork, Emotions]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emotions
Context triple: [Twista, notableWork, Emotions]
  • A. Emotions
    Emotions are complex psychological and physiological states that arise in response to internal or external stimuli, influencing thoughts, behavior, and subjective experience.
  • B. Feelings
    "Feelings" is a 1997 solo studio album by David Byrne that blends art rock, pop, and experimental sounds with his characteristically offbeat, introspective songwriting.
  • C. Mixed Emotions
    "Mixed Emotions" is a 1989 rock song by The Rolling Stones, known as a late-career hit that marked a renewed creative and commercial upswing for the band.
  • D. Anger in Inside Out
    Anger in Inside Out is a fiery, short-tempered emotion character who represents and manages the main character Riley’s feelings of frustration and outrage inside her mind.
  • E. Valence
    Valence is a historic city in southeastern France known as a key cultural and commercial center in the Drôme department.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Emotions
Triple: [Twista, notableWork, Emotions]
Generated description
"Emotions" is a song by Chicago rapper Twista that showcases his rapid-fire delivery and introspective lyricism.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Emotions
Target entity description: "Emotions" is a song by Chicago rapper Twista that showcases his rapid-fire delivery and introspective lyricism.
  • A. Emotions
    Emotions are complex psychological and physiological states that arise in response to internal or external stimuli, influencing thoughts, behavior, and subjective experience.
  • B. Feelings
    "Feelings" is a 1997 solo studio album by David Byrne that blends art rock, pop, and experimental sounds with his characteristically offbeat, introspective songwriting.
  • C. Mood
    "Mood" is a popular Afrobeats song by Nigerian artist Wizkid, known for its smooth, laid-back vibe and melodic delivery.
  • D. Mixed Emotions
    "Mixed Emotions" is a 1989 rock song by The Rolling Stones, known as a late-career hit that marked a renewed creative and commercial upswing for the band.
  • E. Anger in Inside Out
    Anger in Inside Out is a fiery, short-tempered emotion character who represents and manages the main character Riley’s feelings of frustration and outrage inside her mind.
  • F. None of above. chosen

Provenance (5 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_69ab4b77febc819095603eb012cd141b completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb12e03c8190b270c814ce47b626 completed March 7, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb6a5dda0819092508b9e10030d09 completed March 10, 2026, 6:13 a.m.
NEDg Description generation batch_69afb88eed3c8190a74cabe803cdc2ec completed March 10, 2026, 6:22 a.m.
NED2 Entity disambiguation (via description) batch_69afb95468c88190929c736cef8c50d5 completed March 10, 2026, 6:25 a.m.
Created at: March 6, 2026, 9:56 p.m.