Triple
T16458070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maria the Mad |
E399731
|
entity |
| Predicate | causeOfMentalDecline |
P19668
|
FINISHED |
| Object | series of personal tragedies |
—
|
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: series of personal tragedies | Statement: [Maria the Mad, causeOfMentalDecline, series of personal tragedies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causeOfMentalDecline Context triple: [Maria the Mad, causeOfMentalDecline, series of personal tragedies]
-
A.
causeOfMentalHealthIssues
chosen
Indicates that one entity is a contributing factor in producing or worsening another entity’s mental health issues.
-
B.
reasonForFurtherDeterioration
Indicates that one condition, event, or factor is identified as the cause of additional worsening or decline in another condition or situation.
-
C.
causeOfInstitutionalization
Indicates the reason or condition that led to an individual being placed in an institutional setting (such as a hospital, prison, or care facility).
-
D.
movementDecline
Indicates a reduction or worsening in the extent, frequency, or effectiveness of movement or mobility over time.
-
E.
causeOf
Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32d7ef5cc819084cfeb1a3e39d3cc |
completed | April 18, 2026, 7:06 a.m. |
| PD | Predicate disambiguation | batch_69e227048d608190a4205eae3117629a |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:10 a.m.