Triple
T5017670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PowerChart |
E112772
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object | Cerner Corporation |
E20635
|
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: Cerner Corporation | Statement: [PowerChart, developer, Cerner Corporation]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cerner Corporation Context triple: [PowerChart, developer, Cerner Corporation]
-
A.
Cerner
chosen
Cerner is a major American health information technology company best known for its electronic health record (EHR) systems and healthcare data solutions.
-
B.
Epic Systems
Epic Systems is a leading American healthcare software company best known for its widely used electronic health record (EHR) systems in hospitals and clinics.
-
C.
HCA Healthcare
HCA Healthcare is a large American for-profit healthcare company that operates a nationwide network of hospitals and healthcare facilities.
-
D.
NextGen Healthcare
NextGen Healthcare is a U.S.-based health IT company that provides electronic health record, practice management, and related software solutions for medical practices and healthcare organizations.
-
E.
Allscripts
Allscripts is a healthcare information technology company known for providing electronic health record (EHR), practice management, and related software solutions to hospitals and physician practices.
- 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_69bd4434acb8819086679dbeccc2fe54 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd734037a88190a950db814412a023 |
completed | March 20, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea473a1708190aaf4a021fec472c6 |
completed | March 21, 2026, 2 p.m. |
Created at: March 20, 2026, 1:35 p.m.