Triple
T14552759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meet the Moonlight |
E341457
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Calm Down |
E292193
|
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: Calm Down | Statement: [Meet the Moonlight, hasTrack, Calm Down]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Calm Down Context triple: [Meet the Moonlight, hasTrack, Calm Down]
-
A.
Calm Down
chosen
"Calm Down" is a globally popular Afrobeats song by Nigerian singer Rema, known for its catchy melody and successful remix featuring Selena Gomez.
-
B.
Calm Down
"Calm Down" is a hip-hop track by American rapper G-Eazy known for its braggadocious lyrics and energetic, minimalist production.
-
C.
You Need to Calm Down
"You Need to Calm Down" is a colorful, pro-LGBTQ+ pop anthem by Taylor Swift that critiques online hate and social intolerance.
-
D.
"Simmer Down"
"Simmer Down" is an early ska single by The Wailers that became a major hit in Jamaica and helped establish both the group and the Studio One label in the 1960s.
-
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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb2ee34208190bf040a513767c958 |
completed | April 14, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94afc95c8190ae4aff12c9d69c88 |
completed | May 8, 2026, 7:45 a.m. |
Created at: April 10, 2026, 1:23 a.m.