Triple
T18483100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Double Up |
E451613
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Make Me Cry (Remix) |
—
|
NE NERFINISHED |
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: Make Me Cry (Remix) | Statement: [Double Up, hasTrack, Make Me Cry (Remix)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Make Me Cry (Remix) Context triple: [Double Up, hasTrack, Make Me Cry (Remix)]
-
A.
Make Me Cry
chosen
"Make Me Cry" is a song featured on the album "Double Up."
-
B.
I Will Make U Cry
"I Will Make U Cry" is a track from Nelly Furtado’s debut album "Whoa, Nelly!" that showcases her distinctive blend of pop, folk, and R&B influences.
-
C.
Make Me (Moto Blanco remix)
"Make Me (Moto Blanco remix)" is a dance-oriented club remix of Britney Spears' song "Make Me" produced by the British remix duo Moto Blanco.
-
D.
Please Don't Make Me Cry
"Please Don't Make Me Cry" is a reggae song popularized by the British band UB40, known for its melancholic lyrics and smooth, laid-back groove.
-
E.
Make Me Over
Make Me Over is likely a segment or feature within the program "Who We Are" that focuses on personal transformations or makeovers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38465a0819099b9b42d2a662ac1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e531d49a1881908cc2ad6132953c96 |
completed | April 19, 2026, 7:49 p.m. |
Created at: April 10, 2026, 11:35 a.m.