Triple

T19723275
Position Surface form Disambiguated ID Type / Status
Subject Spanish Kabbalah E473661 entity
Predicate majorWork P4 FINISHED
Object Sefer ha-Zohar NE NERFINISHED

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: Sefer ha-Zohar | Statement: [Spanish Kabbalah, majorWork, Sefer ha-Zohar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sefer ha-Zohar
Context triple: [Spanish Kabbalah, majorWork, Sefer ha-Zohar]
  • A. Zohar
    Zohar is a fictional character portrayed by Israeli-American actress Alona Tal, known from her work in film and television.
  • B. Zohar chosen
    The Zohar is the central mystical text of Jewish Kabbalah, presenting esoteric interpretations of the Torah and profound teachings on the nature of God, the cosmos, and the soul.
  • C. Biurei HaZohar
    Biurei HaZohar is a multi-volume collection of mystical and Hasidic commentaries on the Zohar authored by the second Chabad Rebbe, Dovber Schneuri.
  • D. Sefer Yetzirah
    Sefer Yetzirah is an early foundational work of Jewish mysticism that explores creation through the Hebrew letters and the ten sefirot.
  • E. Sefer HaChaim
    Sefer HaChaim is a central High Holy Day motif in Jewish liturgy, symbolizing the divine record of human deeds and the granting of life and destiny for the coming year.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e517ebd48190979ee76723bcfadf completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e649f64984819097882c44098b1643 completed April 20, 2026, 3:44 p.m.
Created at: April 10, 2026, 1:46 p.m.