Triple
T5017641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cerner Corporation |
E112771
|
entity |
| Predicate | hasProduct |
P3585
|
FINISHED |
| Object | PowerChart |
E112772
|
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: PowerChart | Statement: [Cerner Corporation, hasProduct, PowerChart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PowerChart Context triple: [Cerner Corporation, hasProduct, PowerChart]
-
A.
PowerChart
chosen
PowerChart is Cerner's flagship electronic health record (EHR) solution used by healthcare providers to document, manage, and access patient clinical information.
-
B.
Power View
Power View is an interactive data visualization and reporting tool from Microsoft that enables users to create dynamic, presentation-ready dashboards and reports.
-
C.
StarDraw
StarDraw is a vector graphics and diagramming application that was part of the StarOffice productivity suite.
-
D.
Plotly
Plotly is an interactive, open-source graphing and data visualization library widely used in Python for creating rich, web-based charts and dashboards.
-
E.
Chartist demonstrations
Chartist demonstrations were mass 19th-century British protest gatherings demanding political reform, including universal male suffrage and parliamentary changes.
- 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_69be9278421c8190b142466c099c7d1c |
completed | March 21, 2026, 12:43 p.m. |
Created at: March 20, 2026, 1:35 p.m.