Triple
T38649485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | laws of imitation |
E938800
|
entity |
| Predicate | theoreticalLevel |
P191325
|
FINISHED |
| Object | micro-sociological |
—
|
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: micro-sociological | Statement: [laws of imitation, theoreticalLevel, micro-sociological]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: theoreticalLevel Context triple: [laws of imitation, theoreticalLevel, micro-sociological]
-
A.
mathematicalLevel
Indicates the degree or complexity of mathematical knowledge, skill, or sophistication associated with an entity.
-
B.
trainingLevel
Indicates the degree or stage of training or skill development that an entity has attained.
-
C.
disciplineLevel
Indicates the degree or strictness of control, order, or self-regulation applied in a given context or relationship.
-
D.
philosophicalLevel
Indicates the degree or extent to which something embodies, involves, or operates at a philosophical level of thought or abstraction.
-
E.
qualificationLevel
Indicates the degree or rank of competence, certification, or formal credentials required for or possessed in relation to something.
- 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_69f76ed948ec81908ce7811608a8f359 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdb0de8c08190928cd1323f80ab5c |
completed | May 7, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69fcd9017dd88190b32a73fe78909740 |
completed | May 7, 2026, 6:25 p.m. |
| PDg | Predicate description generation | batch_69fcdb0cf6008190b27046b694f84356 |
completed | May 7, 2026, 6:33 p.m. |
Created at: May 3, 2026, 4:32 p.m.