Triple

T8002238
Position Surface form Disambiguated ID Type / Status
Subject Tasty E186276 entity
Predicate hasTrack P3284 FINISHED
Object Glow
"Glow" is a track by the artist Tasty, likely featuring an energetic, electronic-influenced sound characteristic of their music style.
 E704173 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: Glow | Statement: [Tasty, hasTrack, Glow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Glow
Context triple: [Tasty, hasTrack, Glow]
  • A. Glow
    "Glow" is a song featured on Kelly Clarkson's holiday album "When Christmas Comes Around..." that showcases her soulful vocals in a festive, contemporary pop setting.
  • B. Glitter
    Glitter is a 2001 musical romantic drama film starring Mariah Carey as an aspiring singer navigating love and the music industry in 1980s New York City.
  • C. Glitter
    "Glitter" is an introspective, genre-blending EP by 070 Shake that helped establish her as a distinctive voice in contemporary hip-hop and alternative R&B.
  • D. Glitz
    Glitz is a crime novel by Elmore Leonard that follows a tough Miami cop entangled with a vengeful ex-con and the seedy underworld of Atlantic City.
  • E. Sparkle
    Sparkle is a Georgia-Pacific paper towel brand known for its affordable, everyday household cleaning products.
  • 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: Glow
Triple: [Tasty, hasTrack, Glow]
Generated description
"Glow" is a track by the artist Tasty, likely featuring an energetic, electronic-influenced sound characteristic of their music style.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Glow
Target entity description: "Glow" is a track by the artist Tasty, likely featuring an energetic, electronic-influenced sound characteristic of their music style.
  • A. Glow
    "Glow" is a song featured on Kelly Clarkson's holiday album "When Christmas Comes Around..." that showcases her soulful vocals in a festive, contemporary pop setting.
  • B. Glitter
    Glitter is a 2001 musical romantic drama film starring Mariah Carey as an aspiring singer navigating love and the music industry in 1980s New York City.
  • C. Glitter
    "Glitter" is an introspective, genre-blending EP by 070 Shake that helped establish her as a distinctive voice in contemporary hip-hop and alternative R&B.
  • D. Glitz
    Glitz is a crime novel by Elmore Leonard that follows a tough Miami cop entangled with a vengeful ex-con and the seedy underworld of Atlantic City.
  • E. Sparkle
    Sparkle is a Georgia-Pacific paper towel brand known for its affordable, everyday household cleaning products.
  • 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_69ca82aaaf24819084b94d18f699ba53 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3cf2918081909ee0afab11caed63 completed March 31, 2026, 3:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe11aefc88190bcf614e936455927 completed March 31, 2026, 2:58 p.m.
NEDg Description generation batch_69cbe441b76881909efa791b74316088 completed March 31, 2026, 3:12 p.m.
NED2 Entity disambiguation (via description) batch_69cc34749ae08190a1d30919a0594bfd completed March 31, 2026, 8:54 p.m.
Created at: March 30, 2026, 5:18 p.m.