Triple
T26001559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Leahy |
E646640
|
entity |
| Predicate | therapyModality |
P122242
|
FINISHED |
| Object | cognitive-behavioral interventions |
—
|
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: cognitive-behavioral interventions | Statement: [Robert Leahy, therapyModality, cognitive-behavioral interventions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: therapyModality Context triple: [Robert Leahy, therapyModality, cognitive-behavioral interventions]
-
A.
modalityOf
Indicates that one element specifies the manner, mood, or mode in which the action, event, or state expressed by another element is realized or presented.
-
B.
treatmentType
chosen
Indicates the specific kind or category of treatment applied or prescribed in relation to an entity or condition.
-
C.
therapyLine
Indicates that one entity is a specific therapeutic product, regimen, or line of treatment used in the medical management of another entity.
-
D.
trainingModality
Indicates the method or format through which training or instruction is delivered or conducted.
-
E.
usesRadiation
Indicates that an entity employs radiation as a means or component in performing an action, process, or function.
- 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_69e77e89d5848190b54352cdb74f6029 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f605755bd48190a760f5301eafb3ae |
completed | May 2, 2026, 2:08 p.m. |
| PD | Predicate disambiguation | batch_69f5aff889988190ad10bcf1a280f717 |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 22, 2026, 9 a.m.