Triple
T30096935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Sacred and Profane Love Machine |
E764890
|
entity |
| Predicate | hasMoralPhilosophicalDimension |
P18695
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [The Sacred and Profane Love Machine, hasMoralPhilosophicalDimension, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMoralPhilosophicalDimension Context triple: [The Sacred and Profane Love Machine, hasMoralPhilosophicalDimension, yes]
-
A.
hasMoralPerspective
Indicates that an entity holds or applies a particular moral or ethical viewpoint in evaluating actions, situations, or other entities.
-
B.
hasEthicalDimension
chosen
Indicates that the relationship, action, or situation involves moral considerations, value judgments, or ethical implications.
-
C.
hasMoralFraming
Indicates that something is presented or interpreted in terms of moral values, judgments, or ethical considerations.
-
D.
moralPhilosophy
Indicates a relationship where an entity is concerned with, studies, or is characterized by principles, theories, or systems of moral philosophy or ethics.
-
E.
hasMoralComplexity
Indicates that the relationship or action involves nuanced ethical considerations, conflicting values, or ambiguity in determining what is morally right or wrong.
- 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_69f22474e4288190b5f895fe3974aa92 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fd37b695c88190855801626f91c4cd |
completed | May 8, 2026, 1:09 a.m. |
| PD | Predicate disambiguation | batch_69fd374cccf08190a230e87164af5938 |
completed | May 8, 2026, 1:07 a.m. |
Created at: April 29, 2026, 7:07 p.m.