Triple
T36732169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sayings Gospel Q |
E907369
|
entity |
| Predicate | keyScholar |
P115266
|
FINISHED |
| Object | Johannes Weiss |
—
|
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: Johannes Weiss | Statement: [Sayings Gospel Q, keyScholar, Johannes Weiss]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: keyScholar Context triple: [Sayings Gospel Q, keyScholar, Johannes Weiss]
-
A.
scholarlyCatalog
Indicates a relationship where an entity organizes, lists, or indexes scholarly works or academic resources in a structured catalog.
-
B.
scholarlyMilieu
chosen
Indicates the intellectual or academic environment, context, or community within which a scholarly work, activity, or figure is situated.
-
C.
scholarlyWork
Indicates a relationship where an entity is a formal academic or research work produced, published, or recognized within a scholarly context.
-
D.
scholarlyActivity
Indicates engagement in academic or research-related work, such as studying, teaching, publishing, or conducting scholarly inquiry.
-
E.
supportedScholar
Indicates that one entity has provided assistance, resources, or endorsement to another entity in their role as a scholar or academic.
- 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_69f76e75aa6881909b844d00a3888ee5 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c9f5a8848190ba956ff27f44e396 |
completed | May 3, 2026, 10:19 p.m. |
| PD | Predicate disambiguation | batch_69f7c8999a348190abc1895eaa6e036d |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:12 p.m.