Triple

T14734254
Position Surface form Disambiguated ID Type / Status
Subject Rav Sheshet E346160 entity
Predicate field 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: [Rav Sheshet, field, Aggadah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aggadah
Context triple: [Rav Sheshet, field, 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec72ea9348190817efcdaa973d7f7 completed April 14, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb8bcc188190901e3f692fd8fbf9 completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:29 a.m.