Triple
T19082655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Binah |
E467067
|
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: [Binah, appearsIn, Zohar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zohar Context triple: [Binah, 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.
Sefer Yetzirah
Sefer Yetzirah is an early foundational work of Jewish mysticism that explores creation through the Hebrew letters and the ten sefirot.
-
E.
Hekhalot Rabbati
Hekhalot Rabbati is a foundational early Jewish mystical text that details visionary ascents to the heavenly palaces and encounters with the divine chariot.
- 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e2eab58c8190a987c88d633c92ec |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 10, 2026, 12:04 p.m.