Triple
T935209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zohar |
E20179
|
entity |
| Predicate | authorshipTheory |
P6838
|
FINISHED |
| Object | primarily composed or compiled by Moses de León |
—
|
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: primarily composed or compiled by Moses de León | Statement: [Zohar, authorshipTheory, primarily composed or compiled by Moses de León]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorshipTheory Context triple: [Zohar, authorshipTheory, primarily composed or compiled by Moses de León]
-
A.
authorshipStatus
Indicates the current state or condition of an entity’s role as an author in relation to a work (e.g., confirmed, disputed, anonymous, or pending).
-
B.
traditionalAuthorship
chosen
Indicates that an entity is recognized as the conventional or historically accepted author of a work, according to traditional attribution.
-
C.
probableAuthorOf
Indicates that an entity is likely, but not certainly, the author or creator of another entity.
-
D.
hasAuthor
Indicates that an entity is written or created by a specific author.
-
E.
isPosthumousWorkOf
Indicates that a work was created, published, or became known only after the death of the person with whom it is associated.
- 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_69a493af3dc48190adb7263e6e445ea1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b363ea5c819098ec1d87f785bad4 |
completed | March 1, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69a4b29b245c8190b143f28b77fede3c |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.