Triple
T19533725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luv Is Rage |
E488715
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Dej Loaf |
E395881
|
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: Dej Loaf | Statement: [Luv Is Rage, hasTrack, Dej Loaf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dej Loaf Context triple: [Luv Is Rage, hasTrack, Dej Loaf]
-
A.
Dej Loaf
chosen
Dej Loaf is an American rapper and singer from Detroit known for her melodic style and breakout single "Try Me."
-
B.
Beabadoobee
Beabadoobee is a Filipino-British indie singer-songwriter known for her lo-fi, 90s-inspired guitar pop and breakout hit "Coffee."
-
C.
Madison Beer
Madison Beer is an American singer and songwriter who gained initial fame as a teen through YouTube covers before releasing her own pop and R&B-influenced music.
-
D.
Azealia Banks
Azealia Banks is an American rapper, singer, and songwriter known for her rapid-fire flow, genre-blending dance and hip-hop tracks, and outspoken public persona.
-
E.
Gnash
Gnash is the saber-toothed tiger mascot of the NHL’s Nashville Predators, known for his energetic in-game antics and fan engagement.
- 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e636417ed88190b4c66a323bca776f |
completed | April 20, 2026, 2:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a075776a9ec8190aeb8f7cd2e61fc66 |
completed | May 15, 2026, 5:27 p.m. |
Created at: April 10, 2026, 1:41 p.m.