Triple

T21722038
Position Surface form Disambiguated ID Type / Status
Subject Twister E536182 entity
Predicate trackOn P35590 FINISHED
Object Glitter
"Glitter" is a song by the American rock band Twister, known for its energetic style and catchy, guitar-driven sound.
E1527188 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: Glitter | Statement: [Twister, trackOn, Glitter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Glitter
Context triple: [Twister, trackOn, Glitter]
  • A. 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.
  • 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 (album)
    Glitter is the 2001 soundtrack album by Mariah Carey, blending pop, R&B, and disco influences and released alongside her film of the same name.
  • 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. Glitter in the Air
    "Glitter in the Air" is a soulful pop ballad by Pink, known for its emotional lyrics and her acclaimed live performances of the song.
  • 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: Glitter
Triple: [Twister, trackOn, Glitter]
Generated description
"Glitter" is a song by the American rock band Twister, known for its energetic style and catchy, guitar-driven sound.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Glitter
Target entity description: "Glitter" is a song by the American rock band Twister, known for its energetic style and catchy, guitar-driven sound.
  • A. 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.
  • B. 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.
  • C. Glitter (album)
    Glitter is the 2001 soundtrack album by Mariah Carey, blending pop, R&B, and disco influences and released alongside her film of the same name.
  • 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. Glitter in the Air
    "Glitter in the Air" is a soulful pop ballad by Pink, known for its emotional lyrics and her acclaimed live performances of the song.
  • 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_69e0c46c6dd88190a595375fa6ebd701 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efd97032c08190820b87a288e77293 completed April 27, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0ab640f7788190baa1305f47cd4ca2 completed May 18, 2026, 6:48 a.m.
NEDg Description generation batch_6a0ab6fd3a6881908ea1e8f85eb9d969 completed May 18, 2026, 6:51 a.m.
NED2 Entity disambiguation (via description) batch_6a0ab791bd6c819098b3de570bd08815 completed May 18, 2026, 6:54 a.m.
Created at: April 16, 2026, 6:47 p.m.