Triple
T11557008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | On Clemency |
E274041
|
entity |
| Predicate | ethicalConceptDefined |
P53261
|
FINISHED |
| Object | clementia (clemency) |
—
|
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: clementia (clemency) | Statement: [On Clemency, ethicalConceptDefined, clementia (clemency)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethicalConceptDefined Context triple: [On Clemency, ethicalConceptDefined, clementia (clemency)]
-
A.
moralConcept
chosen
Indicates that one entity represents or embodies a moral or ethical concept in relation to another.
-
B.
ethicalPrinciples
Indicates a relationship where certain actions, decisions, or agents are governed, guided, or constrained by specified ethical rules, norms, or moral standards.
-
C.
moralCriterion
Indicates that something is being evaluated or classified according to a standard of moral judgment or ethical rightness.
-
D.
ethicalDebate
Indicates a relationship where parties are engaged in discussing, questioning, or disputing the moral rightness or wrongness of actions, policies, or principles.
-
E.
ethicalInstruction
Indicates that one entity provides guidance, teaching, or directives to another entity about moral principles or ethical behavior.
- 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88a888e8481909386009b9603e4d3 |
completed | April 10, 2026, 5:28 a.m. |
| PD | Predicate disambiguation | batch_69d85dc3fc2c8190bed7e2111301a77c |
completed | April 10, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:37 p.m.