Triple
T11571943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ashecliffe Hospital for the Criminally Insane |
E274408
|
entity |
| Predicate | treatmentMethods |
P78752
|
FINISHED |
| Object | psychotherapy (in fiction) |
—
|
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: psychotherapy (in fiction) | Statement: [Ashecliffe Hospital for the Criminally Insane, treatmentMethods, psychotherapy (in fiction)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: treatmentMethods Context triple: [Ashecliffe Hospital for the Criminally Insane, treatmentMethods, psychotherapy (in fiction)]
-
A.
treatment
Indicates that one entity is used as a medical or therapeutic intervention to address, manage, or cure a condition affecting another entity.
-
B.
treats
Indicates that one entity provides medical care or therapeutic intervention to another entity.
-
C.
usesTreatment
chosen
Indicates that one entity applies or employs a particular treatment or therapeutic method on or for another entity.
-
D.
knownForTreatmentOf
Indicates that an entity is recognized or notable for providing treatment or medical care for a particular condition, disease, or type of patient.
-
E.
exportTreatment
Indicates the action or process of sending or transferring a treatment (such as a medical, data, or procedural treatment) from one system, location, or context to another for external use or application.
- 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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88dd6913881908becf188c0a7a275 |
completed | April 10, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69d85dcbacd0819094d4a1237055affa |
completed | April 10, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:38 p.m.