Triple

T21029441
Position Surface form Disambiguated ID Type / Status
Subject Kether E518025 entity
Predicate appearsIn P795 FINISHED
Object 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: Zohar | Statement: [Kether, appearsIn, Zohar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zohar
Context triple: [Kether, appearsIn, Zohar]
  • A. 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.
  • B. Zohar
    Zohar is a fictional character portrayed by Israeli-American actress Alona Tal, known from her work in film and television.
  • C. Zohar Manna
    Zohar Manna was a pioneering computer scientist known for his foundational work in mathematical logic, program verification, and the formal methods of software correctness.
  • D. 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.
  • E. Sefer Raziel HaMalakh
    Sefer Raziel HaMalakh is a medieval Jewish mystical and magical text attributed to the angel Raziel, containing esoteric teachings, angelology, and practical Kabbalistic instructions.
  • 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_69e0b503275c8190afd9a163f997c709 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc7fd3ec81908ac237047f9b0d7a completed April 21, 2026, 4:26 a.m.
Created at: April 16, 2026, 1:55 p.m.