Triple
T6512080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Granato |
E150159
|
entity |
| Predicate | medicalEvent |
P71300
|
FINISHED |
| Object | took a leave of absence from coaching due to Hodgkin lymphoma |
—
|
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: took a leave of absence from coaching due to Hodgkin lymphoma | Statement: [Don Granato, medicalEvent, took a leave of absence from coaching due to Hodgkin lymphoma]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: medicalEvent Context triple: [Don Granato, medicalEvent, took a leave of absence from coaching due to Hodgkin lymphoma]
-
A.
medicalCar
Indicates that an entity is a vehicle used for providing medical transport or emergency medical services to another entity.
-
B.
clinicalSignOf
Indicates that one clinical sign is evidence or manifestation of a particular disease, condition, or underlying medical state.
-
C.
clinicalForm
Indicates the specific clinical manifestation or presentation type associated with a medical condition or case.
-
D.
publicConsultationHeld
Indicates that a formal public consultation process has been conducted regarding a particular decision, policy, or project.
-
E.
electronicHealthRecordSystem
Indicates a relationship where an entity functions as or is associated with an electronic system used to create, store, manage, or access patients’ health records.
- 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_69c687ef291081909d437f035eef1cda |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c69f3c5eb88190a56723acd8096dd8 |
completed | March 27, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69c68ab98c78819081743e614df04e1d |
completed | March 27, 2026, 1:48 p.m. |
| PDg | Predicate description generation | batch_69c69f362ee4819090e8fa48caef7d7d |
completed | March 27, 2026, 3:16 p.m. |
Created at: March 27, 2026, 1:44 p.m.