Triple

T8890334
Position Surface form Disambiguated ID Type / Status
Subject Britney: Piece of Me E211645 entity
Predicate titleTrack P8087 FINISHED
Object Piece of Me E764418 NE 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: Piece of Me | Statement: [Britney: Piece of Me, titleTrack, Piece of Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Piece of Me
Context triple: [Britney: Piece of Me, titleTrack, Piece of Me]
  • A. Piece of Me chosen
    "Piece of Me" is a 2007 electropop single by Britney Spears that critiques media scrutiny of her personal life and became one of her signature songs.
  • B. Pieces of Me
    "Pieces of Me" is a 2004 pop-rock single by Ashlee Simpson that became her breakout hit and signature song.
  • C. 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.
  • D. 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.
  • E. Part of Me
    "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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca83907954819096d52a245b635841 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc619188508190aacda410f0b4c98d completed April 1, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc92e668c819086e694f92c04add6 completed April 3, 2026, 2:05 p.m.
Created at: March 30, 2026, 6:53 p.m.