Triple
T8969423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Maris |
E214224
|
entity |
| Predicate | notableInvestment |
P3488
|
FINISHED |
| Object | One Medical |
E184189
|
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: One Medical | Statement: [Bill Maris, notableInvestment, One Medical]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: One Medical Context triple: [Bill Maris, notableInvestment, One Medical]
-
A.
One Medical
chosen
One Medical is a membership-based primary care provider that offers technology-enabled, patient-centered medical services through both in-person clinics and virtual care.
-
B.
Amwell
Amwell is a village in Hertfordshire, England, known for its historic countryside setting and proximity to landmarks such as Scott’s Grotto.
-
C.
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.
-
D.
Zocdoc
Zocdoc is a digital healthcare marketplace that allows patients to find nearby doctors, read reviews, and book medical appointments online.
-
E.
Flatiron Health
Flatiron Health is a healthcare technology company that specializes in using real-world oncology data and software to improve cancer care and research.
- 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_69ca839dbf608190a2f5990477115d29 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6765babc8190a4a3b79aa21047c8 |
completed | April 1, 2026, 12:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc96006e48190978e4ccdedc48b41 |
completed | April 3, 2026, 2:06 p.m. |
Created at: March 30, 2026, 7:01 p.m.