Triple
T23370197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uproar (music video) |
E593448
|
entity |
| Predicate | promotes |
P1258
|
FINISHED |
| Object | Uproar (song) |
—
|
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: Uproar (song) | Statement: [Uproar (music video), promotes, Uproar (song)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uproar (song) Context triple: [Uproar (music video), promotes, Uproar (song)]
-
A.
Uproar (music video)
"Uproar (music video)" is the visual accompaniment to Lil Wayne’s song “Uproar,” known for its energetic depiction of viral dance challenges and street-style choreography.
-
B.
Uproar
Uproar is a creative work—likely a book or other published piece—best known as the principal notable work of author Gregory Wigfall.
-
C.
Uproar
chosen
"Uproar" is a popular 2018 hip-hop single by Lil Wayne, known for its energetic beat, viral dance challenge, and prominent use of a classic G Herbo/DMX-style sample.
-
D.
Hate Song
"Hate Song" is a popular track by Swedish metal band The Haunted, known for its aggressive riffs and intense vocal delivery.
-
E.
Up! (album)
Up! is a 2002 studio album by Canadian country-pop singer Shania Twain that showcases her blend of country and pop music across multiple genre-specific mixes.
- 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_69e25d2593c88190bcdf4a716a94ccb2 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a0aff84c8190a5a6bf52adae1c9a |
completed | April 29, 2026, 6:09 a.m. |
Created at: April 17, 2026, 5:32 p.m.