Triple
T10621709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 4 Your Eyez Only |
E250217
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Velous |
E703246
|
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: Velous | Statement: [4 Your Eyez Only, producer, Velous]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Velous Context triple: [4 Your Eyez Only, producer, Velous]
-
A.
Velous
chosen
Velous is an American producer, songwriter, and recording artist known for his work in hip-hop and R&B, including contributions to major tracks like Kanye West’s “All Day.”
-
B.
Velo
Velo is a nicotine pouch brand owned by British American Tobacco, marketed as a smokeless alternative to traditional cigarettes.
-
C.
Segway PT
The Segway PT is a self-balancing, two-wheeled personal transporter that became widely known as an innovative but niche urban mobility device.
-
D.
Ola Bike
Ola Bike is a bike-taxi service operated by Indian ride-hailing company Ola, providing affordable two-wheeler rides for short-distance urban travel.
-
E.
Brompton
Brompton is a historic and affluent district in West London known for its museums, garden squares, and proximity to Knightsbridge and South Kensington.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df70b0288190bf6edd705632ff02 |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96b908e788190bc9e4f327e871a7f |
completed | April 10, 2026, 9:28 p.m. |
Created at: April 8, 2026, 8:50 p.m.