Triple
T165407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oracle Corporation |
E3003
|
entity |
| Predicate | acquired |
P2511
|
FINISHED |
| Object |
Cerner
Cerner is a major American health information technology company best known for its electronic health record (EHR) systems and healthcare data solutions.
|
E20635
|
NE FINISHED |
How this triple was built (4 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 | Statement: [Oracle Corporation, acquired, Cerner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cerner Context triple: [Oracle Corporation, acquired, Cerner]
-
A.
Medtronic
Medtronic is a global medical technology company known for developing and manufacturing devices and therapies to treat a wide range of chronic diseases and conditions.
-
B.
NCR Corporation
NCR Corporation is a global technology company best known for its point-of-sale systems, ATMs, and other financial and retail transaction solutions.
-
C.
Meredith Corporation
Meredith Corporation was a major American media and marketing company best known for its portfolio of lifestyle magazines and television broadcasting assets.
-
D.
Hewlett-Packard
Hewlett-Packard is a pioneering American technology company known for its innovations in computing, printers, and enterprise IT solutions.
-
E.
IBM
IBM is a multinational technology and consulting company known for its pioneering work in computer hardware, software, and enterprise services.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Cerner Triple: [Oracle Corporation, acquired, Cerner]
Generated description
Cerner is a major American health information technology company best known for its electronic health record (EHR) systems and healthcare data solutions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cerner Target entity description: Cerner is a major American health information technology company best known for its electronic health record (EHR) systems and healthcare data solutions.
-
A.
Medtronic
Medtronic is a global medical technology company known for developing and manufacturing devices and therapies to treat a wide range of chronic diseases and conditions.
-
B.
NCR Corporation
NCR Corporation is a global technology company best known for its point-of-sale systems, ATMs, and other financial and retail transaction solutions.
-
C.
Meredith Corporation
Meredith Corporation was a major American media and marketing company best known for its portfolio of lifestyle magazines and television broadcasting assets.
-
D.
Hewlett-Packard
Hewlett-Packard is a pioneering American technology company known for its innovations in computing, printers, and enterprise IT solutions.
-
E.
IBM
IBM is a multinational technology and consulting company known for its pioneering work in computer hardware, software, and enterprise services.
- F. None of above. chosen
Provenance (5 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_69a2524ce1e48190ab066bf72859f474 |
completed | Feb. 28, 2026, 2:26 a.m. |
| NER | Named-entity recognition | batch_69a25883ac8481909616b2179561bd98 |
completed | Feb. 28, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2db55b2808190bb120e6f266bd26b |
completed | Feb. 28, 2026, 12:11 p.m. |
| NEDg | Description generation | batch_69a2dbc9285081908ce873c8ec56c36f |
completed | Feb. 28, 2026, 12:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2e05353808190a0392ea04cecdb43 |
completed | Feb. 28, 2026, 12:32 p.m. |
Created at: Feb. 28, 2026, 2:34 a.m.