Triple
T9426470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lover |
E227274
|
entity |
| Predicate | track |
P17929
|
FINISHED |
| Object | You Need to Calm Down |
E798236
|
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: You Need to Calm Down | Statement: [Lover, track, You Need to Calm Down]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: You Need to Calm Down Context triple: [Lover, track, You Need to Calm Down]
-
A.
You Need to Calm Down
chosen
"You Need to Calm Down" is a colorful, pro-LGBTQ+ pop anthem by Taylor Swift that critiques online hate and social intolerance.
-
B.
Calm Down
"Calm Down" is a globally popular Afrobeats song by Nigerian singer Rema, known for its catchy melody and successful remix featuring Selena Gomez.
-
C.
Cool It Now
"Cool It Now" is a 1984 R&B/pop single by New Edition that became one of their signature hits, showcasing their teen pop sound and harmonies.
-
D.
Calm Like a Bomb
"Calm Like a Bomb" is a politically charged rap metal song by Rage Against the Machine, known for its explosive dynamics and radical, anti-establishment lyrics.
-
E.
Keep It Down
"Keep It Down" is a song by the American rock band Tasty, known for its energetic style and catchy, guitar-driven sound.
- 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_69ca8436ba308190903e470776d2d893 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7c908738819081df35c632f35f04 |
completed | April 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1102f93488190bd1ae232c1e34830 |
completed | April 4, 2026, 1:20 p.m. |
Created at: March 30, 2026, 7:49 p.m.