Triple
T16468655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solomonia Saburova |
E400001
|
entity |
| Predicate | consequenceOfChildlessness |
P122899
|
FINISHED |
| Object | monastic confinement |
—
|
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: monastic confinement | Statement: [Solomonia Saburova, consequenceOfChildlessness, monastic confinement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: consequenceOfChildlessness Context triple: [Solomonia Saburova, consequenceOfChildlessness, monastic confinement]
-
A.
consequenceOfMarriageWithoutConsent
Indicates that something occurs as a result of entering into a marriage that was conducted without the required consent.
-
B.
hadNoSurvivingChildren
Indicates that the person did not have any children who were alive at the relevant point in time.
-
C.
impactOnReproduction
Indicates a relationship where one entity affects, alters, or influences the reproductive capacity, success, or processes of another entity.
-
D.
consequenceOfDestruction
Indicates that one event, state, or condition occurs as a direct result of a prior act of destruction.
-
E.
hadChildren
Indicates that the subject person is a parent of one or more children.
- F. None of above. chosen
Provenance (4 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_69e32dce342081909cad56dc92de13a2 |
completed | April 18, 2026, 7:07 a.m. |
| PD | Predicate disambiguation | batch_69e227048d608190a4205eae3117629a |
completed | April 17, 2026, 12:26 p.m. |
| PDg | Predicate description generation | batch_69e24556c1348190902a4d116c3137d9 |
completed | April 17, 2026, 2:36 p.m. |
Created at: April 10, 2026, 5:11 a.m.