Triple
T1682668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penguin Books |
E36370
|
entity |
| Predicate | business model |
P21224
|
FINISHED |
| Object | mass-market paperback publishing |
—
|
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: mass-market paperback publishing | Statement: [Penguin Books, business model, mass-market paperback publishing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: business model Context triple: [Penguin Books, business model, mass-market paperback publishing]
-
A.
businessModelFocus
chosen
Indicates that one entity’s business model is centered on, tailored to, or primarily oriented around another entity or specific focus area.
-
B.
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.
-
C.
businessStrategy
Indicates the overarching plan or approach an entity adopts to achieve its business goals, compete in its market, and allocate resources.
-
D.
operatingModel
Indicates how an organization structures and manages its processes, resources, and governance to deliver its products or services.
-
E.
formerBusinessModel
Indicates that an entity previously operated under a particular business model, but no longer does so.
- 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_69a886139ed081909af0940aa9313512 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aba644070c81908745b56d981fe273 |
completed | March 7, 2026, 4:15 a.m. |
| PD | Predicate disambiguation | batch_69aa61b57a6881909373af287ef24799 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:29 p.m.