Triple
T17630754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sophie |
E429968
|
entity |
| Predicate | hasTherapyFormat |
P104191
|
FINISHED |
| Object | one-on-one psychotherapy sessions |
—
|
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: one-on-one psychotherapy sessions | Statement: [Sophie, hasTherapyFormat, one-on-one psychotherapy sessions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTherapyFormat Context triple: [Sophie, hasTherapyFormat, one-on-one psychotherapy sessions]
-
A.
includesTherapy
Indicates that one entity contains, offers, or encompasses a specific therapeutic treatment or intervention as part of its scope or composition.
-
B.
hasTherapyContext
chosen
Indicates that an entity is associated with, occurs within, or is characterized by a specific therapeutic setting, framework, or treatment context.
-
C.
hasPlayFormat
Indicates that something (such as a game, media, or activity) is associated with a particular format or mode in which it is played or experienced.
-
D.
hasExhibitFormat
Indicates the specific format or medium in which an exhibit is presented or made available.
-
E.
hasProductionFormat
Indicates that an entity is associated with, or presented in, a particular production or media format.
- 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_69d889e37f308190a6aa0a69daff86c7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46dc01b1c819099e3329cfb8cb77f |
completed | April 19, 2026, 5:53 a.m. |
| PD | Predicate disambiguation | batch_69e3cddc87188190ac2f049b86038676 |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 5:52 a.m.