Triple
T37353675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sandra Lee |
E927393
|
entity |
| Predicate | hasPatientInteraction |
P3970
|
FINISHED |
| Object | on-camera dermatologic procedures |
—
|
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: on-camera dermatologic procedures | Statement: [Sandra Lee, hasPatientInteraction, on-camera dermatologic procedures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPatientInteraction Context triple: [Sandra Lee, hasPatientInteraction, on-camera dermatologic procedures]
-
A.
hasPatient
Indicates that an action, event, or process involves a specific entity as the one undergoing or receiving its effects (the patient).
-
B.
hasInteraction
chosen
Indicates that there is some form of interaction or mutual action occurring between the related entities.
-
C.
hasPatientIntakeScope
Indicates that an entity is associated with, or operates within, the defined scope of patient intake activities or processes.
-
D.
hasPatientEligibility
Indicates that a subject (such as a program, service, or clinical trial) has defined criteria determining which patients are eligible to participate or receive it.
-
E.
isUsedForPatients
Indicates that something is employed or applied in the care, treatment, or management of patients.
- 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_69f76eb5e034819088e53ab5b7909a68 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a00512437d48190ad20324968ead5f4 |
completed | May 10, 2026, 9:34 a.m. |
| PD | Predicate disambiguation | batch_6a0050227350819099f41369c3d168be |
completed | May 10, 2026, 9:30 a.m. |
Created at: May 3, 2026, 4:16 p.m.