Triple
T14461726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samsung TV Plus |
E358598
|
entity |
| Predicate | hasMonetization |
P20937
|
FINISHED |
| Object | advertising |
—
|
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 | Statement: [Samsung TV Plus, hasMonetization, advertising]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMonetization Context triple: [Samsung TV Plus, hasMonetization, advertising]
-
A.
hasMonetizationFocus
Indicates that one entity is oriented toward or primarily concerned with generating revenue or financial returns from another entity or activity.
-
B.
supportsMonetizationProgram
Indicates that an entity enables or is compatible with a specific monetization program, allowing revenue-generating activities to occur.
-
C.
hasMonetaryComponent
chosen
Indicates that something includes, involves, or is associated with a monetary or financial element.
-
D.
hasInAppPurchases
Indicates that an application offers additional content, features, or services that users can buy from within the app itself.
-
E.
canBePurchasedWith
Indicates that one entity is able to be bought or acquired using another entity as the form of payment.
- 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91abc1008190a19de4f8f0112c9d |
completed | April 14, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69de5c42bd3c81909a62acf30cc24d1e |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:19 a.m.