Triple
T14623229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Us and the Night |
E343275
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Pieces of Me |
E425037
|
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: Pieces of Me | Statement: [Us and the Night, hasTrack, Pieces of Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pieces of Me Context triple: [Us and the Night, hasTrack, Pieces of Me]
-
A.
Pieces of Me
chosen
"Pieces of Me" is a 2004 pop-rock single by Ashlee Simpson that became her breakout hit and signature song.
-
B.
Piece of Me
"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.
-
C.
Piece of Me
"Piece of Me" is a track from Wizkid’s acclaimed Afrobeats album *Made in Lagos*, blending smooth vocals with laid-back, rhythmic production.
-
D.
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.
-
E.
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.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb468acc4819083b7e818d5cec809 |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5cd890c8190902c9b526babe6d3 |
completed | May 8, 2026, 12:23 p.m. |
Created at: April 10, 2026, 1:26 a.m.