Triple
T37138196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Jeffrey Geiger |
E920028
|
entity |
| Predicate | isDoctorType |
P140593
|
FINISHED |
| Object | surgeon |
—
|
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: surgeon | Statement: [Dr. Jeffrey Geiger, isDoctorType, surgeon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isDoctorType Context triple: [Dr. Jeffrey Geiger, isDoctorType, surgeon]
-
A.
isDoctorOf
Indicates that one entity serves as the medical doctor responsible for the care or treatment of another entity.
-
B.
mainDoctor
Indicates that one entity serves as the primary or responsible doctor for another entity (such as a patient or medical case).
-
C.
practitionerType
chosen
Indicates the specific category or role of practitioner associated with an entity (e.g., doctor, nurse, therapist).
-
D.
medicalQualificationFrom
Indicates that a person or medical professional obtained their medical qualification or degree from a specified institution or source.
-
E.
hasDoctorActor
Indicates that a doctor participates as an acting agent in the specified event or relationship.
- F. None of above.
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_69f76e9e9d008190a250b0387c992c74 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb344c60f8819090f2e21e1e61d621 |
completed | May 6, 2026, 12:30 p.m. |
| PD | Predicate disambiguation | batch_69fb2f642db08190b562725502c74ea6 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:15 p.m.