Triple
T14075269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Morning Brightness |
E338713
|
entity |
| Predicate | moralInstruction |
P58495
|
FINISHED |
| Object | do not oppress the orphan |
—
|
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: do not oppress the orphan | Statement: [The Morning Brightness, moralInstruction, do not oppress the orphan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: moralInstruction Context triple: [The Morning Brightness, moralInstruction, do not oppress the orphan]
-
A.
moralRequirement
chosen
Indicates that one entity is obligated, on moral or ethical grounds, to perform or refrain from a particular action in relation to another entity or situation.
-
B.
moralCriterion
Indicates that something is being evaluated or classified according to a standard of moral judgment or ethical rightness.
-
C.
moralExpectation
Indicates that one entity is expected, by moral or ethical standards, to behave in a certain way toward another entity or in a given situation.
-
D.
moralRealization
Indicates the recognition or coming to understand a moral truth, principle, or ethical implication about a situation or action.
-
E.
moralConcept
Indicates that one entity represents or embodies a moral or ethical concept in relation to another.
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5c5cdd288190914e1d57321b3554 |
completed | April 14, 2026, 3:25 p.m. |
| PD | Predicate disambiguation | batch_69de05b0e6c88190a819eeba0028981f |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:21 p.m.