Triple
T5880193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Russell Conwell |
E130726
|
entity |
| Predicate | mottoPromoted |
P67405
|
FINISHED |
| Object | self-help and opportunity through education |
—
|
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: self-help and opportunity through education | Statement: [Russell Conwell, mottoPromoted, self-help and opportunity through education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mottoPromoted Context triple: [Russell Conwell, mottoPromoted, self-help and opportunity through education]
-
A.
mottoType
Indicates the specific category or kind of motto that characterizes the relationship between an entity and its motto.
-
B.
mottoEmphasizes
Indicates that a motto highlights, stresses, or gives special importance to a particular idea, value, or theme.
-
C.
mottoStatus
Indicates the current state or classification of a motto, such as whether it is official, proposed, historical, or otherwise designated.
-
D.
mottoOriginalLanguage
Indicates the language in which a motto was originally formulated or expressed.
-
E.
orderMottoPromoted
Indicates that a motto associated with an order has been elevated or given increased prominence or status.
- F. None of above. chosen
Provenance (4 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_69c0085523688190bfd487479ce819e6 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0432fea5881909f5c291dd8db6105 |
completed | March 22, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69c033499ca08190bd26cee5b03f6306 |
completed | March 22, 2026, 6:22 p.m. |
| PDg | Predicate description generation | batch_69c0432f06fc8190bc047d52ffc30d59 |
completed | March 22, 2026, 7:29 p.m. |
Created at: March 22, 2026, 3:57 p.m.