Triple
T13770667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Men of the Great Assembly |
E330870
|
entity |
| Predicate | viewInScholarship |
P3464
|
FINISHED |
| Object | historicity debated |
—
|
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: historicity debated | Statement: [Men of the Great Assembly, viewInScholarship, historicity debated]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewInScholarship Context triple: [Men of the Great Assembly, viewInScholarship, historicity debated]
-
A.
scholarlyView
chosen
Indicates that one entity holds an academic or research-based interpretation, opinion, or theoretical stance about another entity.
-
B.
scholarlyWork
Indicates a relationship where an entity is a formal academic or research work produced, published, or recognized within a scholarly context.
-
C.
incorporatesRecentScholarship
Indicates that something (such as a work, argument, or analysis) includes and makes use of up-to-date academic research or findings.
-
D.
scholarlyUse
Indicates that something is used for academic, educational, or research-related purposes.
-
E.
influencedScholar
Indicates that one scholar has had a significant intellectual or academic impact on another scholar’s work, ideas, or development.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0235aea881909ab4c721db081b00 |
completed | April 14, 2026, 9 a.m. |
| PD | Predicate disambiguation | batch_69dbbe97846c819093b00ea117b64e0d |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 10:10 p.m.