Triple
T6311249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Novartis |
E141505
|
entity |
| Predicate | subsidiary |
P258
|
FINISHED |
| Object |
Alcon
Alcon is a global eye care company specializing in ophthalmic pharmaceuticals, surgical equipment, and vision care products.
|
E584149
|
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: Alcon | Statement: [Novartis, subsidiary, Alcon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alcon Context triple: [Novartis, subsidiary, Alcon]
-
A.
Bausch + Lomb
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.
Optica
Optica is a leading scientific society dedicated to advancing the study and application of optics and photonics worldwide.
-
D.
American Optical Company
American Optical Company is a historic U.S. manufacturer best known for producing eyeglasses, optical instruments, and pioneering lens technologies.
-
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. 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: Alcon Triple: [Novartis, subsidiary, Alcon]
Generated description
Alcon is a global eye care company specializing in ophthalmic pharmaceuticals, surgical equipment, and vision care products.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alcon Target entity description: Alcon is a global eye care company specializing in ophthalmic pharmaceuticals, surgical equipment, and vision care products.
-
A.
Bausch + Lomb
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.
Optica
Optica is a leading scientific society dedicated to advancing the study and application of optics and photonics worldwide.
-
D.
American Optical Company
American Optical Company is a historic U.S. manufacturer best known for producing eyeglasses, optical instruments, and pioneering lens technologies.
-
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. chosen
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_69c008d00efc8190a36c05b4b4a3bf4b |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0649d1e048190a3fc7fbce9d2ee57 |
completed | March 22, 2026, 9:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e461e2ec8190af7198a03edb1ff7 |
completed | March 27, 2026, 1:58 a.m. |
| NEDg | Description generation | batch_69c5e66e8b3c8190bd4cd960b91de473 |
completed | March 27, 2026, 2:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c5e6e40c588190898ad952b71e5b11 |
completed | March 27, 2026, 2:09 a.m. |
Created at: March 22, 2026, 4:28 p.m.