Triple
T11658181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ZEISS |
E277060
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | ZEISS Vision Care |
E277060
|
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: ZEISS Vision Care | Statement: [ZEISS, brand, ZEISS Vision Care]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ZEISS Vision Care Context triple: [ZEISS, brand, ZEISS Vision Care]
-
A.
Bausch + Lomb
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.
ZEISS
chosen
ZEISS is a renowned German optics company best known for its high-quality lenses and imaging technologies used in cameras, microscopes, and industrial systems.
-
D.
Allergan
Allergan is a global pharmaceutical company best known for developing branded drugs and medical aesthetics products, including Botox.
-
E.
Specsavers
Specsavers is a British optical retail chain best known for providing affordable eye care and eyewear through its widespread network of high-street opticians.
- 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a3d0331481909682b2e504e4c9a0 |
completed | April 10, 2026, 7:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee882148a08190a1a8c16d8cb7e48a |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 8, 2026, 9:39 p.m.