Triple
T5007708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sefer ha-Rimon |
E112536
|
entity |
| Predicate | alsoKnownForAuthor |
P15030
|
FINISHED |
| Object | Moses de León as principal author of the Zohar |
—
|
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: Moses de León as principal author of the Zohar | Statement: [Sefer ha-Rimon, alsoKnownForAuthor, Moses de León as principal author of the Zohar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alsoKnownForAuthor Context triple: [Sefer ha-Rimon, alsoKnownForAuthor, Moses de León as principal author of the Zohar]
-
A.
notableWorkAuthor
Indicates that one entity is the creator or author of a notable work associated with another entity.
-
B.
alsoKnownFor
chosen
Indicates that an entity is additionally recognized or noted for another work, role, achievement, or characteristic beyond its primary association.
-
C.
authorOfAlso
Indicates that an entity is also an author of another specified work or item, in addition to any primary authorship already indicated.
-
D.
alsoKnownAs
Indicates that one entity is an alternative name, alias, or designation for another entity.
-
E.
workOfAuthorOf
Indicates that one entity is a work (such as a book, article, or artwork) created by the author associated with another entity.
- 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_69bd4433d0b08190877e83959ef40d81 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd730a7590819088ab8d49c5c88c2f |
completed | March 20, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69bd714cbc448190aa53a8a83d768b64 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:35 p.m.