Triple
T19941496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ModernPopularCulture |
E479316
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | ViralTrends |
—
|
NE NERFINISHED |
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: ViralTrends | Statement: [ModernPopularCulture, hasComponent, ViralTrends]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ViralTrends Context triple: [ModernPopularCulture, hasComponent, ViralTrends]
-
A.
library trends
Library trends are evolving patterns and developments in library services, technologies, collections, and user behaviors that shape how libraries operate and serve their communities over time.
-
B.
Hot Topics
Hot Topics is the opening discussion segment on the daytime talk show "The View," where the co-hosts debate and comment on current events and trending issues.
-
C.
TikTok
chosen
TikTok is a popular short-form video-sharing platform known for its algorithm-driven content feed, viral trends, and user-generated music and dance videos.
-
D.
Billboard Streaming Songs
Billboard Streaming Songs is a Billboard chart that ranks the most-streamed songs in the United States based on data from major music streaming services.
-
E.
TRND
TRND is a National Institutes of Health program that accelerates the development of treatments for rare and neglected diseases by bridging the gap between basic research and clinical application.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e522a17c819095165d4d24939fd8 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65a6318848190a1dd3e0a6fea3fe2 |
completed | April 20, 2026, 4:54 p.m. |
Created at: April 10, 2026, 1:54 p.m.