Triple
T4131011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bayer |
E85040
|
entity |
| Predicate | hasDivision |
P35
|
FINISHED |
| Object | Bayer Animal Health |
E85040
|
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: Bayer Animal Health | Statement: [Bayer, hasDivision, Bayer Animal Health]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bayer Animal Health Context triple: [Bayer, hasDivision, Bayer Animal Health]
-
A.
Elanco (historically, before spin-off)
Elanco (historically, before its spin-off) was Eli Lilly and Company's animal health division, focused on developing and marketing veterinary pharmaceuticals and related products for livestock and companion animals.
-
B.
Bayer
chosen
Bayer is a major German multinational pharmaceutical and life sciences company known for products such as aspirin and its work in healthcare and agriculture.
-
C.
Hill's Pet Nutrition
Hill's Pet Nutrition is a major pet food company best known for its science-based therapeutic and premium nutrition products for dogs and cats.
-
D.
Purina
Purina is a major pet food and pet care brand owned by Nestlé, known for producing a wide range of dog and cat nutrition products.
-
E.
Lonza
Lonza is a global Swiss-based life sciences company specializing in pharmaceutical, biotech, and nutrition products and services, particularly in contract development and manufacturing.
- 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_69aed935ccd881909dc61f81bcdb7a78 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af021f6a508190b8ac1e0d8b859f74 |
completed | March 9, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b576c26d4c81909b8be74855cbd03f |
completed | March 14, 2026, 2:54 p.m. |
Created at: March 9, 2026, 3:42 p.m.