Triple
T30132930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nathaniel Wingate Peaslee |
E765895
|
entity |
| Predicate | mentalHealthEvent |
P120499
|
FINISHED |
| Object | sudden personality change following mind exchange |
—
|
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: sudden personality change following mind exchange | Statement: [Nathaniel Wingate Peaslee, mentalHealthEvent, sudden personality change following mind exchange]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mentalHealthEvent Context triple: [Nathaniel Wingate Peaslee, mentalHealthEvent, sudden personality change following mind exchange]
-
A.
mentalStateChange
chosen
Indicates a change in an entity’s mental or emotional condition from one state to another.
-
B.
medicalEvent
Indicates that a specific health-related occurrence or clinical incident has taken place involving one or more entities.
-
C.
hasPsychologicalCondition
Indicates that an entity experiences or is diagnosed with a particular psychological or mental health condition.
-
D.
concernedEvent
Indicates that an entity has a concern, involvement, or relevance specifically with respect to a particular event.
-
E.
emotionalTrigger
Indicates that one entity causes or elicits an emotional response or reaction in another entity.
- 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_69f22477d1a081908df2b7e6ed16859d |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67e4a4b5c8190b5bc97169f9153de |
completed | May 2, 2026, 10:44 p.m. |
| PD | Predicate disambiguation | batch_69f673c664f08190b4d66cdc305e10db |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 7:15 p.m.