Triple
T33338590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beyoncé's Super Bowl 50 halftime performance |
E853607
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Super Bowl halftime show appearance |
C34116
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: Super Bowl halftime show appearance Context triple: [Beyoncé's Super Bowl 50 halftime performance, instanceOf, Super Bowl halftime show appearance]
-
A.
Beyoncé concert tour
A Beyoncé concert tour is a series of live, large-scale performances across multiple locations featuring Beyoncé’s music, choreography, and visual production designed to promote her albums and engage fans worldwide.
-
B.
guest appearance
chosen
A guest appearance is a brief, often special participation by an external performer, expert, or notable individual in a production, event, or program where they are not a regular member.
-
C.
Lady Gaga concert tour
A Lady Gaga concert tour is a series of live performances by Lady Gaga, typically spanning multiple cities and countries, featuring elaborate staging, costumes, and setlists to promote her music and engage fans worldwide.
-
D.
Ariana Grande concert tour
An Ariana Grande concert tour is a series of live performances by the pop singer across multiple cities and venues, featuring her music, choreography, and stage production for fans worldwide.
-
E.
Taylor Swift concert tour
A Taylor Swift concert tour is a series of live performances across multiple locations where Taylor Swift presents curated setlists, staging, and production to promote her music and engage with fans.
- F. None of above.
Provenance (1 batch)
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_69f34969614c81909cd99661b0902533 |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:34 a.m.