Triple

T14602020
Position Surface form Disambiguated ID Type / Status
Subject Rabbi Meir E342726 entity
Predicate contributedTo P37 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, contributedTo, Tosefta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tosefta
Context triple: [Rabbi Meir, contributedTo, 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_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_69fda91a4d7881908f783beb72578067 completed May 8, 2026, 9:12 a.m.
Created at: April 10, 2026, 1:25 a.m.