Triple

T2955495
Position Surface form Disambiguated ID Type / Status
Subject Amoraim E79922 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: [Amoraim, fieldOfWork, Aggadah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aggadah
Context triple: [Amoraim, 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. Tosefta
    The Tosefta is an early rabbinic compilation of Jewish oral law that supplements and parallels the Mishnah with additional teachings and legal material.
  • D. Talmud
    The Talmud is a central Jewish religious text comprising rabbinic discussions, legal rulings, and interpretations of the Hebrew Bible that form the foundation of traditional Jewish law and theology.
  • E. Midrash halakha
    Midrash halakha is a genre of rabbinic literature that derives and interprets Jewish legal rulings from the biblical text.
  • 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_69ad8b1276588190a374a0b12e0f7bdf completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99286ac8819084f02fbb0a1616d3 completed March 8, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b108dae9ac8190b72faf84e75a60c7 completed March 11, 2026, 6:16 a.m.
Created at: March 8, 2026, 2:57 p.m.