Triple
T14602015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rabbi Meir |
E342726
|
entity |
| Predicate | fieldOfWork |
P3
|
FINISHED |
| Object | Aggadah |
E27247
|
NE 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 Meir, fieldOfWork, Aggadah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aggadah Context triple: [Rabbi Meir, fieldOfWork, Aggadah]
-
A.
Aggadah
chosen
Aggadah is the non-legal component of rabbinic literature, encompassing narrative, ethical teachings, theology, and folklore found in the Talmud and Midrash.
-
B.
Midrash
Midrash is a classical Jewish literary and interpretive tradition that explores, explains, and expands upon the Hebrew Bible through narrative, legal, and ethical teachings.
-
C.
Tanhuma midrashim
The Tanhuma midrashim are a collection of rabbinic homiletic teachings on the Pentateuch, characterized by sermonic expositions, moral lessons, and aggadic interpretations attributed to early Jewish sages.
-
D.
Shevuot
Shevuot is a Talmudic tractate that primarily deals with the laws of oaths, false testimony, and related legal obligations.
-
E.
Tosefta
The Tosefta is an early rabbinic compilation of Jewish oral law that supplements and parallels the Mishnah with additional teachings and legal material.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb43a1bb48190bf520cb961f15b5e |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94cc9fbc819090ae4efe9bc618aa |
completed | May 8, 2026, 7:46 a.m. |
Created at: April 10, 2026, 1:25 a.m.