Triple
T13893503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bedtime Stories |
E334029
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Inside of Me |
E775208
|
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: Inside of Me | Statement: [Bedtime Stories, hasPart, Inside of Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inside of Me Context triple: [Bedtime Stories, hasPart, Inside of Me]
-
A.
Inside of Me
chosen
"Inside of Me" is a song by the American rock band Men Without Women, featured on one of their releases.
-
B.
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.
-
C.
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.
-
D.
Deep Inside
"Deep Inside" is a classic 1993 house track by American producer Hardrive (Louie Vega), renowned for its soulful vocals and enduring influence on dance music.
-
E.
Am I Inside
"Am I Inside" is a song by the American rock band Sap.
- 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_69d81c5dd2d48190b7a5fc1e009de936 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de23a537d4819093c2bae2a244816a |
completed | April 14, 2026, 11:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c71ca8a881908ac02687fbfe62fb |
completed | May 3, 2026, 10:07 p.m. |
Created at: April 9, 2026, 10:15 p.m.