Triple
T4664078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sifre Devarim |
E102802
|
entity |
| Predicate | relatedWork |
P37
|
FINISHED |
| Object | Sifre Bamidbar |
E226935
|
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: Sifre Bamidbar | Statement: [Sifre Devarim, relatedWork, Sifre Bamidbar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sifre Bamidbar Context triple: [Sifre Devarim, relatedWork, Sifre Bamidbar]
-
A.
Sifre Bamidbar
chosen
Sifre Bamidbar is a tannaitic midrashic work offering halakhic and aggadic commentary on the biblical Book of Numbers.
-
B.
Sifra di-Tsni’uta
Sifra di-Tsni’uta is a brief but highly influential mystical treatise within the Zoharic corpus that offers dense, symbolic teachings central to later Kabbalistic thought.
-
C.
The Book of Numbers
The Book of Numbers is a popular mathematics book that explores the properties, patterns, and curiosities of numbers in an accessible and engaging way.
-
D.
Sarei HaMeah
Sarei HaMeah is a significant Hebrew work by Rabbi Yehuda Leib Maimon that profiles and analyzes one hundred prominent rabbinic figures.
-
E.
Zohar Manna
Zohar Manna was a pioneering computer scientist known for his foundational work in mathematical logic, program verification, and the formal methods of software correctness.
- 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_69bd43d9cba4819086c1ab1c2d9d2133 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd633aeba88190a8329ed022d685b6 |
completed | March 20, 2026, 3:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be03803a948190b6dc2a03bb9cdc93 |
completed | March 21, 2026, 2:33 a.m. |
Created at: March 20, 2026, 1:15 p.m.