Triple
T8058800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | pleasure principle |
E188063
|
entity |
| Predicate | temperedBy |
P12760
|
FINISHED |
| Object | reality principle |
—
|
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: reality principle | Statement: [pleasure principle, temperedBy, reality principle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: temperedBy Context triple: [pleasure principle, temperedBy, reality principle]
-
A.
impregnatedBy
Indicates that one entity has caused another entity to become pregnant.
-
B.
tamed
Indicates that one entity has brought another under control or domesticated it, reducing its wild or aggressive nature.
-
C.
stabilizedBy
chosen
Indicates that an entity’s state, structure, or behavior is made more steady, secure, or resistant to change through the influence or support of another entity.
-
D.
enhancedBy
Indicates that one entity’s value, effectiveness, or impact is increased or improved as a result of another entity.
-
E.
hasTemperament
Indicates that an entity possesses a particular characteristic style of behavior, mood, or emotional disposition.
- 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_69ca82b2f68881908c50560697e210da |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3fa51adc8190b9327441bd8b9fb3 |
completed | March 31, 2026, 3:29 a.m. |
| PD | Predicate disambiguation | batch_69cb049cd51c8190bb3b0f503e42fa8d |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:25 p.m.