Triple
T281338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crito |
E5359
|
entity |
| Predicate | ethicalConcernInDialogue |
P4934
|
FINISHED |
| Object | reputation among the many (public opinion) |
—
|
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: reputation among the many (public opinion) | Statement: [Crito, ethicalConcernInDialogue, reputation among the many (public opinion)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethicalConcernInDialogue Context triple: [Crito, ethicalConcernInDialogue, reputation among the many (public opinion)]
-
A.
ethicalDebate
Indicates a relationship where parties are engaged in discussing, questioning, or disputing the moral rightness or wrongness of actions, policies, or principles.
-
B.
positionOnEthics
chosen
Indicates a stance, viewpoint, or opinion that an entity holds regarding ethical principles, issues, or practices.
-
C.
hasEthicalAssessment
Indicates that an entity has been evaluated according to ethical criteria or standards.
-
D.
concernsRight
Indicates that something is about or relates specifically to a legal or moral right held by an entity.
-
E.
hasEthicalTeaching
Indicates that one entity provides, promotes, or embodies instruction or guidance related to ethical principles, values, or moral conduct for another entity.
- 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_69a257e6c8788190987dfe705ca2912a |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25e0a23c0819083abee28b2dea49c |
completed | Feb. 28, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69a25b77e028819087e606fc321219f7 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:59 a.m.