Triple
T28443572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sam Gardner |
E715776
|
entity |
| Predicate | therapyWith |
P164730
|
FINISHED |
| Object | Julia Sasaki |
—
|
NE NERFINISHED |
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: Julia Sasaki | Statement: [Sam Gardner, therapyWith, Julia Sasaki]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: therapyWith Context triple: [Sam Gardner, therapyWith, Julia Sasaki]
-
A.
therapyLine
Indicates that one entity is a specific therapeutic product, regimen, or line of treatment used in the medical management of another entity.
-
B.
includesTherapy
Indicates that one entity contains, offers, or encompasses a specific therapeutic treatment or intervention as part of its scope or composition.
-
C.
treatment
Indicates that one entity is used as a medical or therapeutic intervention to address, manage, or cure a condition affecting another entity.
-
D.
therapeuticOrientation
Indicates the specific therapeutic approach or framework a practitioner uses when providing psychological or counseling treatment.
-
E.
treatmentType
Indicates the specific kind or category of treatment applied or prescribed in relation to an entity or condition.
- 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_69efd6b44550819094ae991b553d9fc3 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f64ee0c2788190a94a04ad1902fd5e |
completed | May 2, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69f64caede108190a35cc7cbfead866f |
completed | May 2, 2026, 7:12 p.m. |
| PDg | Predicate description generation | batch_69f64e36c57c8190af09470a8d35512b |
completed | May 2, 2026, 7:19 p.m. |
Created at: April 28, 2026, 1:47 a.m.