Triple
T8067021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gonna Love Me |
E188267
|
entity |
| Predicate | hasRemix |
P9639
|
FINISHED |
| Object | Gonna Love Me (Remix) |
E188267
|
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: Gonna Love Me (Remix) | Statement: [Gonna Love Me, hasRemix, Gonna Love Me (Remix)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gonna Love Me (Remix) Context triple: [Gonna Love Me, hasRemix, Gonna Love Me (Remix)]
-
A.
Gonna Love Me
chosen
"Gonna Love Me" is a soulful R&B song by Teyana Taylor that blends nostalgic 1990s influences with contemporary production and intimate, confessional lyrics.
-
B.
L.O.V.E. (Remix)
"L.O.V.E. (Remix)" is a reworked version of the song "L.O.V.E." featured on the album "Elevation."
-
C.
Are You Gonna Love Me
"Are You Gonna Love Me" is a song featured on the R&B album "Any Love" by Luther Vandross.
-
D.
Love That Girl (Remix)
"Love That Girl (Remix)" is a remixed version of a soulful R&B track by Raphael Saadiq featured on his album "The Way I See It."
-
E.
Always Gonna Love You
"Always Gonna Love You" is a song by Irish rock guitarist Gary Moore, featured on his 1982 album "Corridors of Power."
- 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_69ca82b42674819086840efea12478e5 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ff75d208190b7c53d2fe55878ac |
completed | March 31, 2026, 3:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63e587908190980f1f026f4aa153 |
completed | April 1, 2026, 12:16 a.m. |
Created at: March 30, 2026, 5:26 p.m.