Triple

T14347366
Position Surface form Disambiguated ID Type / Status
Subject Rabbi Meir E355761 entity
Predicate mainWorkContext P26453 FINISHED
Object Tosefta E51651 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: Tosefta | Statement: [Rabbi Meir, mainWorkContext, Tosefta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tosefta
Context triple: [Rabbi Meir, mainWorkContext, Tosefta]
  • A. Tosefta chosen
    The Tosefta is an early rabbinic compilation of Jewish oral law that supplements and parallels the Mishnah with additional teachings and legal material.
  • B. Mishnah
    The Mishnah is the foundational written compilation of Jewish oral law that underpins the Talmud and later rabbinic legal tradition.
  • C. Darkei ha-Mishnah
    Darkei ha-Mishnah is a scholarly work by Zacharias Frankel that analyzes the historical development, language, and structure of the Mishnah within rabbinic literature.
  • D. Bava Batra
    Bava Batra is a Talmudic tractate primarily concerned with civil law, especially property rights, real estate, inheritance, and commercial transactions.
  • E. Bava Kamma
    Bava Kamma is a Talmudic tractate that systematically discusses civil law, particularly damages, property rights, and liability.
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8e8b81bc8190ace2a575faf55cc0 completed April 14, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c4145c081909832e2334a064fb0 completed May 8, 2026, 2:36 a.m.
Created at: April 10, 2026, 1:14 a.m.