Triple

T13412933
Position Surface form Disambiguated ID Type / Status
Subject Amram Gaon E320134 entity
Predicate notableWork P4 FINISHED
Object Siddur Rav Amram E10781 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: Siddur Rav Amram | Statement: [Amram Gaon, notableWork, Siddur Rav Amram]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siddur Rav Amram
Context triple: [Amram Gaon, notableWork, Siddur Rav Amram]
  • A. Siddur chosen
    The Siddur is the traditional Jewish prayer book containing the set order of daily, Shabbat, and holiday prayers used in Jewish worship.
  • B. Machzor
    Machzor is a special Jewish prayer book containing the liturgy for major holidays, particularly the High Holy Days such as Yom Kippur and Rosh Hashanah.
  • C. Torat Chayim
    Torat Chayim is a modern edition of the Mikraot Gedolot that presents the biblical text alongside classic rabbinic commentaries in a clear, scholarly format.
  • D. Gur Aryeh al ha-Torah
    Gur Aryeh al ha-Torah is a classic supercommentary on Rashi’s Torah commentary by the Maharal of Prague, renowned for its deep philosophical and exegetical insights into the biblical text.
  • E. Har HaMenuchot
    Har HaMenuchot is a major Jewish cemetery in Jerusalem, serving as one of the city's primary burial grounds since the mid-20th century.
  • 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_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaeb556948190af008c88e5bbf051 completed April 12, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7307e9b5881908eb2cd9e4fa7c5f2 completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:35 p.m.