Triple
T10245469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nova Wav |
E240201
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
NovaWav
NovaWav is a Grammy-winning American songwriting and production duo known for crafting R&B and hip-hop hits for major artists such as Beyoncé and Rihanna.
|
E853655
|
NE FINISHED |
How this triple was built (4 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: NovaWav | Statement: [Nova Wav, alsoKnownAs, NovaWav]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NovaWav Context triple: [Nova Wav, alsoKnownAs, NovaWav]
-
A.
RIFF
RIFF is an annual international film festival held in Reykjavík, Iceland, showcasing independent and innovative cinema from around the world.
-
B.
WavPack
WavPack is a free, open-source audio compression format known for offering both lossless and hybrid (lossy+correction) encoding modes.
-
C.
Cinepak
Cinepak is an early video compression codec widely used in the 1990s for CD-ROM and multimedia applications due to its ability to play smoothly on low-powered hardware.
-
D.
Indeo
Indeo is a family of video codecs developed by Intel that was widely used in the 1990s for compressed digital video playback on personal computers.
-
E.
WAV
WAV is the vehicle registration code used to identify motor vehicles registered in the municipality of Wavre in Belgium.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: NovaWav Triple: [Nova Wav, alsoKnownAs, NovaWav]
Generated description
NovaWav is a Grammy-winning American songwriting and production duo known for crafting R&B and hip-hop hits for major artists such as Beyoncé and Rihanna.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: NovaWav Target entity description: NovaWav is a Grammy-winning American songwriting and production duo known for crafting R&B and hip-hop hits for major artists such as Beyoncé and Rihanna.
-
A.
RIFF
RIFF is an annual international film festival held in Reykjavík, Iceland, showcasing independent and innovative cinema from around the world.
-
B.
WavPack
WavPack is a free, open-source audio compression format known for offering both lossless and hybrid (lossy+correction) encoding modes.
-
C.
Cinepak
Cinepak is an early video compression codec widely used in the 1990s for CD-ROM and multimedia applications due to its ability to play smoothly on low-powered hardware.
-
D.
Indeo
Indeo is a family of video codecs developed by Intel that was widely used in the 1990s for compressed digital video playback on personal computers.
-
E.
WAV
WAV is the vehicle registration code used to identify motor vehicles registered in the municipality of Wavre in Belgium.
- F. None of above. chosen
Provenance (5 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d22be0208190b671a4e3f81d11b8 |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f79c20e08190928d061b3d4b4e47 |
completed | April 9, 2026, 12:49 a.m. |
| NEDg | Description generation | batch_69d6fa303d4c8190b9f1c3addf7d8b09 |
completed | April 9, 2026, 1 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6ff301d488190b18f1e02bbf1dada |
completed | April 9, 2026, 1:21 a.m. |
Created at: April 6, 2026, 11:26 a.m.