Triple
T30617590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | בְּצַלְאֵל |
E779354
|
entity |
| Predicate | תואר מקראי |
P169624
|
FINISHED |
| Object | מָלֵא רוּחַ אֱלֹהִים |
—
|
LITERAL 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: מָלֵא רוּחַ אֱלֹהִים | Statement: [בְּצַלְאֵל, תואר מקראי, מָלֵא רוּחַ אֱלֹהִים]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: תואר מקראי Context triple: [בְּצַלְאֵל, תואר מקראי, מָלֵא רוּחַ אֱלֹהִים]
-
A.
מסורת מדרשית
Indicates a relationship where one entity is part of, derived from, or characterized by a specific midrashic (rabbinic interpretive) tradition.
-
B.
hasMasorah
Indicates that a text or manuscript is associated with, contains, or is annotated by the Masorah (the traditional Jewish textual notes and transmission apparatus).
-
C.
מעמד דתי
Indicates the religious status or standing assigned to an entity within a religious or legal-religious framework.
-
D.
hasGemara
Indicates that an entity possesses, includes, or is associated with a Gemara (a Talmudic text or study component).
-
E.
magisterialType
Indicates the specific kind or category of magisterial authority, jurisdiction, or court associated with an entity.
- F. None of above. chosen
Provenance (4 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_69f224a3307081909a6dca8ca75dbf48 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f689eca0348190a4f8e54e0a56f797 |
completed | May 2, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69f67e448a9c8190b591374d98799fe3 |
completed | May 2, 2026, 10:44 p.m. |
| PDg | Predicate description generation | batch_69f67f0353c88190a05b2db449abe0f4 |
completed | May 2, 2026, 10:47 p.m. |
Created at: April 29, 2026, 8:26 p.m.