Triple
T28699502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canwest Global Communications |
E729509
|
entity |
| Predicate | hadPrimaryBusinessModel |
P165234
|
FINISHED |
| Object | advertising-supported media |
—
|
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: advertising-supported media | Statement: [Canwest Global Communications, hadPrimaryBusinessModel, advertising-supported media]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadPrimaryBusinessModel Context triple: [Canwest Global Communications, hadPrimaryBusinessModel, advertising-supported media]
-
A.
formerBusinessModel
Indicates that an entity previously operated under a particular business model, but no longer does so.
-
B.
hasBusiness
Indicates that one entity owns, operates, or is formally associated with a business entity.
-
C.
laterBusinessModel
Indicates that one business model occurs or is adopted after another in time, representing a subsequent or successor business model in a sequence.
-
D.
businessModelWorkedOn
Indicates that an entity has actively developed, contributed to, or worked on a particular business model.
-
E.
hasBusinessModelCharacteristic
Indicates that a business model possesses or exhibits a specific feature, quality, or attribute.
- 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_69f043e6e9688190b6bdd6e5665498ff |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f65705a3048190a3728b695ba2ae65 |
completed | May 2, 2026, 7:56 p.m. |
| PD | Predicate disambiguation | batch_69f651ac855481908e30c3b345d31356 |
completed | May 2, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69f6562ef4e4819082ce6abd41b74dc5 |
completed | May 2, 2026, 7:53 p.m. |
Created at: April 28, 2026, 5:41 a.m.