Triple
T11061146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pepsi Super Bowl 50 Halftime Show |
E261507
|
entity |
| Predicate | sponsorBranding |
P82974
|
FINISHED |
| Object | Pepsi logo and branding in staging and promotion |
—
|
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: Pepsi logo and branding in staging and promotion | Statement: [Pepsi Super Bowl 50 Halftime Show, sponsorBranding, Pepsi logo and branding in staging and promotion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sponsorBranding Context triple: [Pepsi Super Bowl 50 Halftime Show, sponsorBranding, Pepsi logo and branding in staging and promotion]
-
A.
sponsorBrandType
Indicates the type or category of brand that is acting as a sponsor in the relationship.
-
B.
sponsorshipBrand
chosen
Indicates that one entity serves as a sponsoring brand for another entity, typically providing support, funding, or endorsement.
-
C.
sharesBrandingWith
Indicates that two entities use the same or closely related branding elements, such as name, logo, or visual identity.
-
D.
sponsorType
Indicates the specific role or category of sponsorship that an entity provides in relation to another entity or event.
-
E.
sponsorFrom
Indicates that one entity provides sponsorship or financial backing originating from a specified source entity.
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d798ea834c819099401e69f995c59f |
completed | April 9, 2026, 12:17 p.m. |
| PD | Predicate disambiguation | batch_69d74411d9e881908c0eeafa0f38e4b6 |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:26 p.m.