Triple
T35958457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dragun Beauty |
E1039930
|
entity |
| Predicate | marketedVia |
P184475
|
FINISHED |
| Object | social 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: social media | Statement: [Dragun Beauty, marketedVia, social media]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marketedVia Context triple: [Dragun Beauty, marketedVia, social media]
-
A.
marketedWith
Indicates that two or more products or services are promoted together as part of the same marketing effort or campaign.
-
B.
marketedFrom
Indicates that a product, service, or offering began to be marketed starting from a specified time or date.
-
C.
marketedFor
Indicates that something is promoted, advertised, or positioned as being intended or suitable for a particular use, audience, or purpose.
-
D.
marketedBy
Indicates that one entity is promoted, advertised, or commercially presented to customers by another entity.
-
E.
alsoMarketedIn
Indicates that a product or service is additionally marketed or sold in another specified market or region.
- 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_69f76e26b21081909fd9ffb3aff6c77a |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7b35e32d481909ef0220e6f6ff4a8 |
completed | May 3, 2026, 8:43 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bad2e88190963ab4ee5d4f2038 |
completed | May 3, 2026, 8:36 p.m. |
| PDg | Predicate description generation | batch_69f7b2c66054819083897e25edb65ba7 |
completed | May 3, 2026, 8:40 p.m. |
Created at: May 3, 2026, 4:07 p.m.