Triple
T6841624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Humanistic Judaism |
E157786
|
entity |
| Predicate | approachToConversion |
P48524
|
FINISHED |
| Object | offers secular Jewish conversion processes |
—
|
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: offers secular Jewish conversion processes | Statement: [Humanistic Judaism, approachToConversion, offers secular Jewish conversion processes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approachToConversion Context triple: [Humanistic Judaism, approachToConversion, offers secular Jewish conversion processes]
-
A.
methodOfConversion
chosen
Indicates the specific process or technique used to transform one form, state, or representation into another.
-
B.
convertsTo
Indicates that one entity is transformed or changed into another entity, typically resulting in a different state, form, or representation.
-
C.
allowsConversionTo
Indicates that one entity permits or enables transformation or change into another specified form or state.
-
D.
helpedConvert
Indicates that one entity assisted another in changing, transforming, or transitioning something from one state, form, or system to another.
-
E.
conversionProcess
Indicates a process in which something is transformed or changed from one state, form, or representation into another.
- 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_69c6882ed4c081909dc465a7cf8838be |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d6b4a1f88190b4f532828697fbd8 |
completed | March 27, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69c6d09f90648190bc0a462c7d59de1b |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:19 p.m.