Triple
T2126455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earl Bakken |
E46435
|
entity |
| Predicate | coFounded |
P104
|
FINISHED |
| Object | Medtronic |
E7950
|
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: Medtronic | Statement: [Earl Bakken, coFounded, Medtronic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Medtronic Context triple: [Earl Bakken, coFounded, Medtronic]
-
A.
Medtronic
chosen
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.
Boston Scientific
Boston Scientific is a global medical technology company known for developing and manufacturing minimally invasive medical devices, particularly in cardiology and other interventional specialties.
-
C.
Edwards Lifesciences
Edwards Lifesciences is a global medical technology company best known for its innovations in heart valves and critical care monitoring systems.
-
D.
Stryker Corporation
Stryker Corporation is a major American medical technology company specializing in orthopedic implants, surgical equipment, and other healthcare devices and services.
-
E.
Zimmer Biomet
Zimmer Biomet is a global medical device company specializing in orthopedic implants, joint replacement technologies, and related surgical products.
- 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_69a88a1626548190ae59a5028c3baa8e |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbb59182081908470f9be97e272c8 |
completed | March 7, 2026, 5:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae51a0e8ac8190992588bf2bf496ab |
completed | March 9, 2026, 4:50 a.m. |
Created at: March 4, 2026, 7:44 p.m.