Triple
T20527715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bausch & Lomb Hall |
E503982
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Bausch & Lomb |
—
|
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: Bausch & Lomb | Statement: [Bausch & Lomb Hall, namedAfter, Bausch & Lomb]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bausch & Lomb Context triple: [Bausch & Lomb Hall, namedAfter, 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.
Alcon
Alcon is a global eye care company specializing in ophthalmic pharmaceuticals, surgical equipment, and vision care products.
-
C.
Allergan
Allergan is a global pharmaceutical company best known for developing branded drugs and medical aesthetics products, including Botox.
-
D.
EssilorLuxottica
EssilorLuxottica is a leading global eyewear company that designs, manufactures, and distributes iconic optical and sunglass brands worldwide.
-
E.
American Optical Company
American Optical Company is a historic U.S. manufacturer best known for producing eyeglasses, optical instruments, and pioneering lens technologies.
- 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_69e0b4b3a6e08190ae663701f50fab8e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a0677018819085396cc8795a34e9 |
completed | April 20, 2026, 9:53 p.m. |
Created at: April 16, 2026, 11:37 a.m.