Triple
T14170045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rabbi Shalom Messas |
E351180
|
entity |
| Predicate | rabbinicSchool |
P74414
|
FINISHED |
| Object | Moroccan Sephardic tradition |
—
|
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: Moroccan Sephardic tradition | Statement: [Rabbi Shalom Messas, rabbinicSchool, Moroccan Sephardic tradition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rabbinicSchool Context triple: [Rabbi Shalom Messas, rabbinicSchool, Moroccan Sephardic tradition]
-
A.
rabbinicSource
Indicates that one entity serves as a rabbinic or Talmudic source or authority for the other.
-
B.
schoolOf
Indicates that an educational institution is the one where a person studied, worked, or is otherwise academically affiliated.
-
C.
ordinationAsRabbi
Indicates that an individual has been formally ordained and recognized with the religious status and authority of a rabbi.
-
D.
associatedSchoolOfReligion
chosen
Indicates that an entity is connected with or belongs to a particular school or tradition within a religion.
-
E.
roleInJudaism
Indicates the specific religious, social, or institutional function an entity holds within the context of Judaism.
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b472288190b4a271daa54aa6cd |
completed | April 14, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69de05b8434c81908c33b1b513463b12 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:01 a.m.