Triple
T9938101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CVS Health |
E194005
|
entity |
| Predicate | acquired |
P2511
|
FINISHED |
| Object | Omnicare |
E830917
|
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: Omnicare | Statement: [CVS Health, acquired, Omnicare]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Omnicare Context triple: [CVS Health, acquired, Omnicare]
-
A.
Omnicare
chosen
Omnicare is a pharmacy services company specializing in providing medications and related services to long-term care and other institutional healthcare facilities.
-
B.
Zoetis
Zoetis is a leading global animal health company that develops, manufactures, and markets medicines, vaccines, and diagnostic products for livestock and companion animals.
-
C.
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.
-
D.
Alkermes
Alkermes is a biopharmaceutical company that develops innovative medicines for central nervous system disorders and other serious chronic diseases.
-
E.
Perrigo
Perrigo is a global healthcare company best known for manufacturing and distributing over-the-counter and generic prescription pharmaceuticals, consumer healthcare products, and nutritional items.
- 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_69ca82e409348190a393777356b80a2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb5e64760819094f599f158d32f33 |
completed | April 2, 2026, 12:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23d4528108190b38111bb36832a67 |
completed | April 5, 2026, 10:45 a.m. |
Created at: March 30, 2026, 8:44 p.m.