Triple

T15615859
Position Surface form Disambiguated ID Type / Status
Subject Abba Arikha E375408 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: [Abba Arikha, fieldOfWork, Aggadah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aggadah
Context triple: [Abba Arikha, 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. 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e980b748190b43c0b650bf1e629 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56dd1e4c819090bf3cd4425b39b7 completed May 9, 2026, 3:46 p.m.
Created at: April 10, 2026, 4:13 a.m.