Triple
T12588962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Denisia Andrews |
E300547
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Nova Wav |
E240201
|
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: Nova Wav | Statement: [Denisia Andrews, associatedAct, Nova Wav]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nova Wav Context triple: [Denisia Andrews, associatedAct, Nova Wav]
-
A.
Nova Wav
chosen
Nova Wav is a Grammy-winning American songwriting and production duo known for crafting R&B and pop hits for major artists like Beyoncé.
-
B.
My Wave
"My Wave" is a song by the American rock band Soundgarden from their 1994 album *Superunknown*, showcasing their heavy, experimental grunge sound and unusual time signatures.
-
C.
Bangarang
Bangarang is a popular electronic dance music EP and title track by American producer Skrillex, known for its aggressive dubstep sound and high-energy production.
-
D.
Warp
Warp is a novel by Lev Grossman, best known as his debut work that blends slacker comedy with speculative and metafictional elements.
-
E.
Warp
Warp is a pioneering British independent record label renowned for its influential roster of experimental electronic and alternative artists.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954bd5e8c8190a2f233b91682341f |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f668656d5c819098f9824febf79712 |
completed | May 2, 2026, 9:11 p.m. |
Created at: April 9, 2026, 5:06 p.m.