Triple
T5171036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Institute of Optics |
E116677
|
entity |
| Predicate | founder |
P104
|
FINISHED |
| Object | Bausch & Lomb |
E120103
|
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: Bausch & Lomb | Statement: [Institute of Optics, founder, Bausch & Lomb]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bausch & Lomb Context triple: [Institute of Optics, founder, Bausch & Lomb]
-
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.
Allergan
Allergan is a global pharmaceutical company best known for developing branded drugs and medical aesthetics products, including Botox.
-
C.
American Optical Company
American Optical Company is a historic U.S. manufacturer best known for producing eyeglasses, optical instruments, and pioneering lens technologies.
-
D.
Optica
Optica is a leading scientific society dedicated to advancing the study and application of optics and photonics worldwide.
-
E.
Eyetech Group Ltd
Eyetech Group Ltd was a UK-based computer hardware company best known for manufacturing AmigaOne systems for the Amiga enthusiast market.
- 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_69bd445ff97c81909a2615cc56235470 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79508610819087abec175da8c847 |
completed | March 20, 2026, 4:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bed9439ec881909021973aa5395e4f |
completed | March 21, 2026, 5:45 p.m. |
Created at: March 20, 2026, 1:45 p.m.