Triple
T20759049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PureVision |
E510924
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | PureVision Multifocal |
—
|
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: PureVision Multifocal | Statement: [PureVision, hasVariant, PureVision Multifocal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PureVision Multifocal Context triple: [PureVision, hasVariant, PureVision Multifocal]
-
A.
Bausch + Lomb
chosen
Bausch + Lomb is a global eye health company best known for its contact lenses, lens care products, and ophthalmic pharmaceuticals.
-
B.
Alcon
Alcon is a global eye care company specializing in ophthalmic pharmaceuticals, surgical equipment, and vision care products.
-
C.
PreserVision
PreserVision is a line of eye health dietary supplements, best known for formulations based on AREDS clinical studies to help reduce the risk of progression of age-related macular degeneration.
-
D.
EyeSight
EyeSight is Apple’s outward-facing display system on the Vision Pro headset that shows a realistic view of the wearer’s eyes to people nearby.
-
E.
ICL 1900 series
The ICL 1900 series was a family of mainframe computers introduced in the 1960s that became a cornerstone of British computing in business, government, and education.
- 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_69e0b4c909ec8190b05987f1639513f6 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c24751688190829f9d836abfb606 |
completed | April 21, 2026, 12:18 a.m. |
Created at: April 16, 2026, 12:35 p.m.