Triple

T11350284
Position Surface form Disambiguated ID Type / Status
Subject Piskei HaRosh E268822 entity
Predicate alternativeName P39 FINISHED
Object Piskei ha-Rosh E268822 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: Piskei ha-Rosh | Statement: [Piskei HaRosh, alternativeName, Piskei ha-Rosh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Piskei ha-Rosh
Context triple: [Piskei HaRosh, alternativeName, Piskei ha-Rosh]
  • A. Piskei HaRosh chosen
    Piskei HaRosh is a seminal halachic work that systematically summarizes and rules on Talmudic discussions, serving as a major source for later Jewish legal codes.
  • B. Sarei HaMeah
    Sarei HaMeah is a significant Hebrew work by Rabbi Yehuda Leib Maimon that profiles and analyzes one hundred prominent rabbinic figures.
  • C. Hasagot HaRamban
    Hasagot HaRamban is Nachmanides’ critical glosses on Maimonides’ Sefer HaMitzvot, in which he analyzes and often disputes Rambam’s enumeration of the Torah’s commandments.
  • D. Tohorot
    Tohorot is a tractate of the Mishnah that deals with the complex laws of ritual purity and impurity.
  • E. Sefer ha-Rimon
    Sefer ha-Rimon is a Jewish mystical and ethical work by the 13th-century Kabbalist Moses de León, best known as the principal author of the Zohar.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea23391c819089e8f9725cb3a0ff completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5564d5a8c81908bddbf3f771370f7 completed April 19, 2026, 10:25 p.m.
Created at: April 8, 2026, 9:33 p.m.