Triple
T36786253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lesser YHWH |
E908919
|
entity |
| Predicate | scholarlyTopicInWorksBy |
P186299
|
FINISHED |
| Object | Gershom Scholem |
—
|
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: Gershom Scholem | Statement: [Lesser YHWH, scholarlyTopicInWorksBy, Gershom Scholem]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scholarlyTopicInWorksBy Context triple: [Lesser YHWH, scholarlyTopicInWorksBy, Gershom Scholem]
-
A.
scholarlyCatalog
Indicates a relationship where an entity organizes, lists, or indexes scholarly works or academic resources in a structured catalog.
-
B.
scholarlyWork
Indicates a relationship where an entity is a formal academic or research work produced, published, or recognized within a scholarly context.
-
C.
scholarlyActivity
Indicates engagement in academic or research-related work, such as studying, teaching, publishing, or conducting scholarly inquiry.
-
D.
fieldOfNotablePublications
Indicates the academic or professional field in which an entity’s notable publications are produced or recognized.
-
E.
academicFieldOfAuthor
Indicates the academic discipline or field in which an author conducts their scholarly work or produces publications.
- 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_69f76e7a937c81909ed7359641e670f6 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7cabdd2d88190be1c8de7e499cb83 |
completed | May 3, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69f7c89b528c8190bf80b230fc7c7108 |
completed | May 3, 2026, 10:13 p.m. |
| PDg | Predicate description generation | batch_69f7ca91f1808190b2a05c4b691da0bb |
completed | May 3, 2026, 10:22 p.m. |
Created at: May 3, 2026, 4:12 p.m.