Triple

T917667
Position Surface form Disambiguated ID Type / Status
Subject Joseph Gikatilla E19805 entity
Predicate influencedBy P9 FINISHED
Object Sefer Yetzirah E19177 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: Sefer Yetzirah | Statement: [Joseph Gikatilla, influencedBy, Sefer Yetzirah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sefer Yetzirah
Context triple: [Joseph Gikatilla, influencedBy, Sefer Yetzirah]
  • A. Sefer Yetzirah chosen
    Sefer Yetzirah is an early foundational work of Jewish mysticism that explores creation through the Hebrew letters and the ten sefirot.
  • B. Hassagot al Sefer Yetzirah
    Hassagot al Sefer Yetzirah is a kabbalistic commentary by Joseph Gikatilla that offers critical glosses and mystical interpretations on the foundational Jewish work Sefer Yetzirah.
  • C. Zohar
    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.
  • D. Sefer HaBahir
    Sefer HaBahir is an early, foundational work of Jewish mysticism that introduces many of the core symbolic concepts and themes later developed in Kabbalah.
  • E. 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.
  • 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_69a493a099788190a696d9d8408cbaf4 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b2fa7b0081909155afc12c1ab630 completed March 1, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac16fbe454819085020fc245c959ed completed March 7, 2026, 12:15 p.m.
Created at: March 1, 2026, 7:40 p.m.