Triple
T33758211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Leftorium |
E865033
|
entity |
| Predicate | inspiredRealWorldBusinesses |
P165047
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [The Leftorium, inspiredRealWorldBusinesses, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inspiredRealWorldBusinesses Context triple: [The Leftorium, inspiredRealWorldBusinesses, yes]
-
A.
inspiredBusinessOf
Indicates that one entity served as the inspiration or model for the business activities, practices, or creation of another entity.
-
B.
inspiredRealWorldProduct
Indicates that one entity served as the creative or conceptual basis that led to the development of a real-world product represented by the other entity.
-
C.
entrepreneurialDomain
Indicates that an entity operates within, is associated with, or belongs to a particular field or sector of entrepreneurial activity.
-
D.
businessModelPioneerOf
Indicates that an entity was the first or among the first to introduce, develop, or popularize a particular business model that others later adopted.
-
E.
inspiredRealWorldImitations
chosen
Indicates that one entity served as the model or motivation for real-world copies, adaptations, or imitations of it.
- 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_69f3498d3b748190aa3c4006c1f32f38 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fba78aca4c8190b8f1831e8cc04e06 |
completed | May 6, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69fba34a65a4819088bac6c17542d71c |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 1, 2026, 1:45 a.m.