Triple
T943498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sefer HaBahir |
E20358
|
entity |
| Predicate | pseudepigraphicAttribution |
P13198
|
FINISHED |
| Object | Tannaitic sage |
—
|
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: Tannaitic sage | Statement: [Sefer HaBahir, pseudepigraphicAttribution, Tannaitic sage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pseudepigraphicAttribution Context triple: [Sefer HaBahir, pseudepigraphicAttribution, Tannaitic sage]
-
A.
questionedAttribution
Indicates that the correctness or source of an attribution between entities is being challenged or called into doubt.
-
B.
probableAuthorOf
chosen
Indicates that an entity is likely, but not certainly, the author or creator of another entity.
-
C.
pseudonymCoinedBy
Indicates that a particular pseudonym was created or invented by a specific agent or source.
-
D.
pseudonymInspiredBy
Indicates that a pseudonym was chosen or created based on, or in homage to, another name, person, work, or concept.
-
E.
describedByAuthorAs
Indicates that one entity is characterized, labeled, or portrayed in a particular way by an author.
- F. None of above.
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_69a493b0270c81909e6c9ce310f6aa55 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3a2b1ec8190a2753ad3b3e8cc7a |
completed | March 1, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69a4b29dc8dc8190b9d33f70f8563d61 |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.