Triple
T4439946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Byte |
E95745
|
entity |
| Predicate | hasMonetizationFocus |
P56039
|
FINISHED |
| Object | creator-centric |
—
|
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: creator-centric | Statement: [Byte, hasMonetizationFocus, creator-centric]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMonetizationFocus Context triple: [Byte, hasMonetizationFocus, creator-centric]
-
A.
supportsMonetizationProgram
Indicates that an entity enables or is compatible with a specific monetization program, allowing revenue-generating activities to occur.
-
B.
hasMonetaryComponent
Indicates that something includes, involves, or is associated with a monetary or financial element.
-
C.
hasMonetaryGrant
Indicates that an entity provides or receives a monetary grant from another entity.
-
D.
hasMarketingIcon
Indicates that an entity is associated with, or represented by, a specific marketing-related icon or symbol.
-
E.
hasInAppPurchases
Indicates that an application offers additional content, features, or services that users can buy from within the app itself.
- 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_69b3453ea2b48190a26f154b3b8fece5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355ac05e081908411089c05fc36bd |
completed | March 13, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69b34f6078cc8190831b89f404198cc5 |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b3505a87b4819083fbbd58870e520b |
completed | March 12, 2026, 11:46 p.m. |
Created at: March 12, 2026, 11:31 p.m.