Triple
T25400223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Never Knowingly Undersold |
E636397
|
entity |
| Predicate | ethicalPositioning |
P75906
|
FINISHED |
| Object | fair pricing |
—
|
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: fair pricing | Statement: [Never Knowingly Undersold, ethicalPositioning, fair pricing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethicalPositioning Context triple: [Never Knowingly Undersold, ethicalPositioning, fair pricing]
-
A.
positionOnEthics
Indicates a stance, viewpoint, or opinion that an entity holds regarding ethical principles, issues, or practices.
-
B.
hasEthicalPosition
chosen
Indicates that an entity holds or is associated with a particular ethical stance, viewpoint, or normative position on moral issues.
-
C.
ethicalStanceInStory
Indicates the ethical position, judgment, or moral viewpoint expressed or taken within the context of a particular story or narrative.
-
D.
ethicalConnotation
Indicates that one entity is associated with a positive, negative, or otherwise specific moral or ethical evaluation in relation to another entity or context.
-
E.
ethicalDebate
Indicates a relationship where parties are engaged in discussing, questioning, or disputing the moral rightness or wrongness of actions, policies, or principles.
- 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_69e75db263888190b77fff9e2827b9a2 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f584f978a881909842e36f61b9a40a |
completed | May 2, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_69f4683b34748190818428489a226124 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 1:50 p.m.