Triple
T3563554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tha Blue Carpet Treatment |
E75391
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | I Wanna Love You |
E293992
|
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 Love You | Statement: [Tha Blue Carpet Treatment, hasPart, I Wanna Love You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Wanna Love You Context triple: [Tha Blue Carpet Treatment, hasPart, I Wanna Love You]
-
A.
I Wanna Love You
chosen
"I Wanna Love You" is a 2006 hip hop and R&B single by Akon featuring Snoop Dogg that became a major international hit.
-
B.
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.
-
C.
I Want Love
"I Want Love" is a 2021 pop single by British singer-songwriter Jessie J that showcases her powerful vocals and emotional lyricism about longing for genuine connection.
-
D.
Wanna Be Loved
"Wanna Be Loved" is a soulful R&B track by John Legend from his album *Love in the Future*, showcasing his smooth vocals and romantic lyricism.
-
E.
Do You Love Me
"Do You Love Me" is a 1962 Motown hit song, originally recorded by The Contours, that became famous for its energetic vocals and dance-oriented rhythm.
- 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_69ad85d512708190829c8b2d3a2ccfb8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0a60e6c8190a3c3ddae5b6ded54 |
completed | March 8, 2026, 6:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3bba5ccf8819090027c445a1fd458 |
completed | March 13, 2026, 7:24 a.m. |
Created at: March 8, 2026, 3:21 p.m.