Triple
T32967761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rabbi Tanchuma |
E843420
|
entity |
| Predicate | genreOfTeachings |
P66569
|
FINISHED |
| Object | aggadah |
—
|
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: aggadah | Statement: [Rabbi Tanchuma, genreOfTeachings, aggadah]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreOfTeachings Context triple: [Rabbi Tanchuma, genreOfTeachings, aggadah]
-
A.
typeOfTeaching
Indicates the specific method or style of teaching used in an instructional context.
-
B.
genreTaught
chosen
Indicates that an agent teaches or provides instruction in a particular genre.
-
C.
focusOfTeachings
Indicates that the object is the primary subject or central theme emphasized in the teachings of the subject.
-
D.
developsTeachingsOf
Indicates that one entity expands, elaborates, or builds upon the teachings or doctrines originally proposed by another entity.
-
E.
recordsTeachingsOf
Indicates that one entity documents or preserves the teachings, lessons, or doctrinal content associated with 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_69f3494b9fc48190bb61c955ba471275 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f739a638748190808e7a2930dce16e |
completed | May 3, 2026, 12:03 p.m. |
| PD | Predicate disambiguation | batch_69f732f2dc6c8190a4e86da98cc5eb05 |
completed | May 3, 2026, 11:35 a.m. |
Created at: May 1, 2026, 1:21 a.m.