Triple
T12236071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Irene of Hesse and by Rhine |
E291594
|
entity |
| Predicate | medicalConditionCarrier |
P103945
|
FINISHED |
| Object | hemophilia B |
—
|
LITERAL 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: hemophilia B | Statement: [Princess Irene of Hesse and by Rhine, medicalConditionCarrier, hemophilia B]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: medicalConditionCarrier Context triple: [Princess Irene of Hesse and by Rhine, medicalConditionCarrier, hemophilia B]
-
A.
medicalConditionCovered
Indicates that a specified medical condition is included under the scope of coverage provided by a particular healthcare plan, policy, or service.
-
B.
medicalCoverageAfter
Indicates that one entity’s medical insurance coverage begins or applies after the time, event, or coverage period associated with another entity.
-
C.
medicalCar
Indicates that an entity is a vehicle used for providing medical transport or emergency medical services to another entity.
-
D.
treatsConditionType
Indicates that one entity (typically a treatment, procedure, or intervention) is used to address, manage, or cure a particular type or category of medical condition.
-
E.
insuranceType
Indicates the specific category or kind of insurance coverage associated with an entity or relationship.
- F. None of above. chosen
Provenance (4 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d924a3973c8190a882046963b320fb |
completed | April 10, 2026, 4:26 p.m. |
| PD | Predicate disambiguation | batch_69d91c41bcbc81909782f4e3c571b218 |
completed | April 10, 2026, 3:50 p.m. |
| PDg | Predicate description generation | batch_69d92468052c819090546f36d009a64f |
completed | April 10, 2026, 4:25 p.m. |
Created at: April 8, 2026, 9:51 p.m.