Triple

T11633154
Position Surface form Disambiguated ID Type / Status
Subject Mappah E276449 entity
Predicate coversSection P41428 FINISHED
Object Even HaEzer E54373 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: Even HaEzer | Statement: [Mappah, coversSection, Even HaEzer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Even HaEzer
Context triple: [Mappah, coversSection, Even HaEzer]
  • A. Even Ha’ezer chosen
    Even Ha’ezer is the section of the Shulchan Aruch that codifies Jewish law relating to marriage, divorce, and family matters.
  • B. Nashim BeShas
    Nashim BeShas is a women’s organization associated with the Shas movement that promotes religious, educational, and social initiatives for women within the Sephardic ultra-Orthodox community in Israel.
  • C. Seder Nashim
    Seder Nashim is the order of the Mishnah and Talmud that deals primarily with laws of marriage, divorce, and related family matters in Jewish law.
  • D. Hatufim
    Hatufim is an Israeli television drama series that follows the emotional and psychological struggles of soldiers returning home after years of captivity.
  • E. Sarei HaMeah
    Sarei HaMeah is a significant Hebrew work by Rabbi Yehuda Leib Maimon that profiles and analyzes one hundred prominent rabbinic figures.
  • 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a25aa9188190ab13d79139f37e7e completed April 10, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee87b12044819098a858edb2b16689 completed April 26, 2026, 9:46 p.m.
Created at: April 8, 2026, 9:39 p.m.