Triple
T5029239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allscripts |
E113253
|
entity |
| Predicate | competitor |
P1375
|
FINISHED |
| Object | MEDITECH |
E114173
|
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: MEDITECH | Statement: [Allscripts, competitor, MEDITECH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MEDITECH Context triple: [Allscripts, competitor, MEDITECH]
-
A.
MEDITECH
chosen
MEDITECH is a healthcare information technology company best known for providing electronic health record (EHR) and hospital information systems to healthcare organizations.
-
B.
Cerner
Cerner is a major American health information technology company best known for its electronic health record (EHR) systems and healthcare data solutions.
-
C.
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.
-
D.
Athenahealth
Athenahealth is a U.S.-based healthcare technology company that provides cloud-based electronic health record, practice management, and revenue cycle management solutions for medical practices and health systems.
-
E.
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.
- 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_69bd443775e48190a646ffbfc4334723 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd738f2cc88190a03eebf19e407411 |
completed | March 20, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be9c6859a88190bbf5688812f2eb91 |
completed | March 21, 2026, 1:26 p.m. |
Created at: March 20, 2026, 1:36 p.m.