Triple
T8426815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L.O.V.E. (Remix) |
E199022
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | L.O.V.E. (Remix) |
E199022
|
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: L.O.V.E. (Remix) | Statement: [L.O.V.E. (Remix), hasTitle, L.O.V.E. (Remix)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: L.O.V.E. (Remix) Context triple: [L.O.V.E. (Remix), hasTitle, L.O.V.E. (Remix)]
-
A.
L.O.V.E. (Remix)
chosen
"L.O.V.E. (Remix)" is a reworked version of the song "L.O.V.E." featured on the album "Elevation."
-
B.
Loverboy (Remix)
"Loverboy (Remix)" is a hip hop remix track featuring rapper Da Brat, best known for her guest verse on Mariah Carey's 2001 single "Loverboy."
-
C.
Love Will Save the Day (remix)
"Love Will Save the Day (remix)" is a remixed version of Whitney Houston’s upbeat dance track, featured on her compilation album Whitney: The Greatest Hits.
-
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.
Music For Love (Remix)
"Music For Love (Remix)" is a remixed version of the song "Music For Love," featured as a track on the album *Evolver*.
- 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_69ca8313c99081909a5c6d83b91de5b3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbd122af6481908fbe53fe30bdd135 |
completed | March 31, 2026, 1:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce0364f294819091ef9f39429f3fb5 |
completed | April 2, 2026, 5:49 a.m. |
Created at: March 30, 2026, 6:07 p.m.