Triple
T8890030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Femme Fatale |
E211638
|
entity |
| Predicate | track |
P17929
|
FINISHED |
| Object | I Wanna Go |
E764458
|
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: I Wanna Go | Statement: [Femme Fatale, track, I Wanna Go]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Wanna Go Context triple: [Femme Fatale, track, I Wanna Go]
-
A.
I Wanna Go
chosen
"I Wanna Go" is an uptempo dance-pop song by Britney Spears, released as a single from her 2011 album Femme Fatale.
-
B.
All I Wanna Do
"All I Wanna Do" is a 1994 hit single by American singer-songwriter Sheryl Crow that became her breakthrough song and one of the defining tracks of 1990s pop-rock.
-
C.
I Wanna Be
"I Wanna Be" is a song featured on the collaborative blues-rock album "Riding with the King" by B.B. King and Eric Clapton.
-
D.
Where I Wanna Be
"Where I Wanna Be" is an R&B song and album by Donell Jones, best known for its smooth, soulful sound and introspective lyrics about love and relationships.
-
E.
I Wanna Love You
"I Wanna Love You" is a song featured on the debut studio album *The 18th Day* by British singer-songwriter Estelle.
- 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_69cfba1e46a48190b7a559f9d9bd348d |
completed | April 3, 2026, 1:01 p.m. |
Created at: March 30, 2026, 6:53 p.m.