Triple
T12974684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James H. Clark |
E321492
|
entity |
| Predicate | coFounded |
P104
|
FINISHED |
| Object | Healtheon |
E321489
|
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: Healtheon | Statement: [James H. Clark, coFounded, Healtheon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Healtheon Context triple: [James H. Clark, coFounded, Healtheon]
-
A.
Healtheon
chosen
Healtheon was an early internet-based healthcare technology company that aimed to streamline and digitize medical and insurance transactions.
-
B.
Diadorius
Diadorius is the given first name of American country music songwriter Boudleaux Bryant, known for his prolific songwriting partnership with his wife Felice Bryant.
-
C.
Amastre
Amastre is a character in George Frideric Handel’s opera "Serse," typically portrayed as a noblewoman disguised as a man and entangled in the opera’s central romantic and political intrigues.
-
D.
Azarethes
Azarethes was a prominent Sasanian Persian general noted for his role in the Iberian War against the Eastern Roman (Byzantine) Empire.
-
E.
Almodis
Almodis was a medieval noblewoman known for her influential dynastic marriages and role in the politics of 11th-century Catalonia and southern France.
- 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e4322c08190abd43daadf16097f |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8ec821c81909398d8e02d69dcbf |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 9, 2026, 8:37 p.m.