Triple
T110712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Realism |
E2241
|
entity |
| Predicate | philosophicalAspect |
P3051
|
FINISHED |
| Object | interest in social conditions |
—
|
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: interest in social conditions | Statement: [Realism, philosophicalAspect, interest in social conditions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: philosophicalAspect Context triple: [Realism, philosophicalAspect, interest in social conditions]
-
A.
philosophicalTheme
chosen
Indicates that a work, idea, or discourse centrally involves or explores a particular philosophical concept, question, or line of thought.
-
B.
ontologicalAspect
Indicates a fundamental mode or category of being that characterizes how something exists or is realized.
-
C.
philosophicalTradition
Indicates a relationship where an entity is associated with, belongs to, or is characterized by a particular philosophical school, movement, or line of thought.
-
D.
notablePhilosopher
Indicates that the subject is recognized as a philosopher of particular significance or influence.
-
E.
hasSecularAspects
Indicates that something includes or exhibits non-religious, worldly, or secular characteristics or dimensions.
- 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_69a24fcdaeb48190a2d796677e4b3281 |
completed | Feb. 28, 2026, 2:15 a.m. |
| NER | Named-entity recognition | batch_69a258b58efc8190959c86f73d67b744 |
completed | Feb. 28, 2026, 2:53 a.m. |
| PD | Predicate disambiguation | batch_69a25641058c8190b5b64509b35d8176 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:20 a.m.