Triple

T22131323
Position Surface form Disambiguated ID Type / Status
Subject Opiate E546909 entity
Predicate hasTrack P3284 FINISHED
Object Part of Me — NE NERFINISHED

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: Part of Me | Statement: [Opiate, hasTrack, Part of Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Part of Me
Context triple: [Opiate, hasTrack, Part of Me]
  • A. Part of Me
    "Part of Me" is a song by Christina Aguilera from her 2010 album *Bionic*, known for its electronic pop sound and introspective lyrics.
  • B. Part of Me
    "Part of Me" is a 2012 3D concert documentary film that follows pop star Katy Perry on her California Dreams Tour while blending live performances with behind-the-scenes footage of her personal and professional life.
  • C. Part of Me chosen
    "Part of Me" is a rock song by Chris Cornell featured on his 2009 solo album "Scream," blending alternative rock with pop and electronic influences.
  • D. Part of Me
    "Part of Me" is a component or segment associated with the work "Room 25," likely contributing to its overall narrative or thematic structure.
  • E. What Part of Me
    "What Part of Me" is a song by the American indie rock band Low from their album "Ones and Sixes."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e39bf348190b541bfa16a7b71e0 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12985e3688190917884c6bd487810 completed April 28, 2026, 9:41 p.m.
Created at: April 16, 2026, 8:32 p.m.