Triple
T25088651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ista dy Chalion |
E628391
|
entity |
| Predicate | mentalHealthArc |
P120499
|
FINISHED |
| Object | recovery from madness |
—
|
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: recovery from madness | Statement: [Ista dy Chalion, mentalHealthArc, recovery from madness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mentalHealthArc Context triple: [Ista dy Chalion, mentalHealthArc, recovery from madness]
-
A.
causeOfMentalHealthIssues
Indicates that one entity is a contributing factor in producing or worsening another entity’s mental health issues.
-
B.
hasPsychologicalCondition
Indicates that an entity experiences or is diagnosed with a particular psychological or mental health condition.
-
C.
healthTheme
Indicates that the subject is associated with, focuses on, or is characterized by a particular health-related topic or theme.
-
D.
mentalStateChange
chosen
Indicates a change in an entity’s mental or emotional condition from one state to another.
-
E.
viewOnPsychology
Indicates that one entity holds a particular perspective, opinion, or theoretical stance regarding the field or subject of psychology.
- 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_69e2ff2f58e881908340527bc5d34f07 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f461e7fe048190adfaf71724f707e3 |
completed | May 1, 2026, 8:18 a.m. |
| PD | Predicate disambiguation | batch_69f442c861188190967655c6d8012380 |
completed | May 1, 2026, 6:06 a.m. |
Created at: April 18, 2026, 6:24 a.m.