Triple
T5305981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bausch + Lomb |
E120103
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object |
Biotrue ONEday
Biotrue ONEday is a daily disposable contact lens line designed to mimic the eye’s natural moisture and provide comfortable, clear vision throughout the day.
|
E120103
|
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: Biotrue ONEday | Statement: [Bausch + Lomb, brand, Biotrue ONEday]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Biotrue ONEday Context triple: [Bausch + Lomb, brand, Biotrue ONEday]
-
A.
Bausch + Lomb
Bausch + Lomb is a global eye health company best known for its contact lenses, lens care products, and ophthalmic pharmaceuticals.
-
B.
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.
-
C.
Marico Eye
Marico Eye is a clear natural spring in South Africa that forms the primary headwaters of the Marico River.
-
D.
Allergan
Allergan is a global pharmaceutical company best known for developing branded drugs and medical aesthetics products, including Botox.
-
E.
Snoline
Snoline is a Lindsay Corporation brand known for its road safety and traffic management products, such as lane markings and safety systems.
- 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: Biotrue ONEday Triple: [Bausch + Lomb, brand, Biotrue ONEday]
Generated description
Biotrue ONEday is a daily disposable contact lens line designed to mimic the eye’s natural moisture and provide comfortable, clear vision throughout the day.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Biotrue ONEday Target entity description: Biotrue ONEday is a daily disposable contact lens line designed to mimic the eye’s natural moisture and provide comfortable, clear vision throughout the day.
-
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.
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.
-
C.
Marico Eye
Marico Eye is a clear natural spring in South Africa that forms the primary headwaters of the Marico River.
-
D.
Allergan
Allergan is a global pharmaceutical company best known for developing branded drugs and medical aesthetics products, including Botox.
-
E.
Snoline
Snoline is a Lindsay Corporation brand known for its road safety and traffic management products, such as lane markings and safety systems.
- F. None of above.
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_69bd44704be88190acdb2ac481b0ff55 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd851dd0d081909c0bf1423278ad8a |
completed | March 20, 2026, 5:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf18869a188190a0588783244c9964 |
completed | March 21, 2026, 10:15 p.m. |
| NEDg | Description generation | batch_69bf193b28f48190a05ffe35496fe2a7 |
completed | March 21, 2026, 10:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf198795d48190a554d83758c6b781 |
completed | March 21, 2026, 10:19 p.m. |
Created at: March 20, 2026, 1:53 p.m.