Triple
T2368066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moses the Black |
E46027
|
entity |
| Predicate | notableTeaching |
P37817
|
FINISHED |
| Object | refusal to resist violence with violence |
—
|
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: refusal to resist violence with violence | Statement: [Moses the Black, notableTeaching, refusal to resist violence with violence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableTeaching Context triple: [Moses the Black, notableTeaching, refusal to resist violence with violence]
-
A.
coreTeaching
Indicates that an entity serves as a primary or foundational teaching or instructional activity for another entity.
-
B.
notableProfessor
Indicates that a person holds or has held a professorship that is distinguished, prominent, or otherwise recognized as notable.
-
C.
notableStudent
Indicates that a person is a distinguished or particularly significant student of another individual or institution.
-
D.
notablePupil
Indicates that one person is a distinguished or noteworthy student or protégé of another person.
-
E.
hasTeaching
Indicates that one entity provides instruction or educational guidance to another entity.
- 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_69a88a145268819083e2736cb835c696 |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc76bf75c8190b014c3dbfc46bba3 |
completed | March 7, 2026, 6:36 a.m. |
| PD | Predicate disambiguation | batch_69abc59b88348190a2d6c08f69974117 |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abc6443c6c8190b932de2abd8eb28f |
completed | March 7, 2026, 6:31 a.m. |
Created at: March 4, 2026, 7:56 p.m.