Triple
T1502831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Bull GmbH |
E33833
|
entity |
| Predicate | product |
P490
|
FINISHED |
| Object |
Red Bull
Red Bull is a globally popular energy drink brand known for its high-caffeine formula and extensive sponsorship of extreme sports and motorsports.
|
E33833
|
NE FINISHED |
How this triple was built (4 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: Red Bull | Statement: [Red Bull GmbH, product, Red Bull]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Red Bull Context triple: [Red Bull GmbH, product, Red Bull]
-
A.
Red Bull GmbH
Red Bull GmbH is an Austrian beverage company best known for its Red Bull energy drink and extensive global sports sponsorships and team ownerships.
-
B.
Powerade
Powerade is a sports drink brand known for its electrolyte-enhanced beverages designed to help athletes rehydrate and replenish energy during physical activity.
-
C.
RC Cola
RC Cola is a long-standing American soft drink brand known as an alternative cola competitor to giants like Coca-Cola and Pepsi.
-
D.
Pepsi Max
Pepsi Max is a sugar-free, low-calorie cola soft drink produced by PepsiCo as an alternative to regular Pepsi.
-
E.
P-Cola
P-Cola is a common shorthand nickname for the city of Pensacola in the Florida Panhandle.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Red Bull Triple: [Red Bull GmbH, product, Red Bull]
Generated description
Red Bull is a globally popular energy drink brand known for its high-caffeine formula and extensive sponsorship of extreme sports and motorsports.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Red Bull Target entity description: Red Bull is a globally popular energy drink brand known for its high-caffeine formula and extensive sponsorship of extreme sports and motorsports.
-
A.
Red Bull GmbH
chosen
Red Bull GmbH is an Austrian beverage company best known for its Red Bull energy drink and extensive global sports sponsorships and team ownerships.
-
B.
Powerade
Powerade is a sports drink brand known for its electrolyte-enhanced beverages designed to help athletes rehydrate and replenish energy during physical activity.
-
C.
RC Cola
RC Cola is a long-standing American soft drink brand known as an alternative cola competitor to giants like Coca-Cola and Pepsi.
-
D.
Pepsi Max
Pepsi Max is a sugar-free, low-calorie cola soft drink produced by PepsiCo as an alternative to regular Pepsi.
-
E.
P-Cola
P-Cola is a common shorthand nickname for the city of Pensacola in the Florida Panhandle.
- F. None of above.
Provenance (5 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_69a885f352a4819099b24ff15489dede |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a8872fae4c81908e7d6961e6c5fa96 |
completed | March 4, 2026, 7:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad1cb578e4819082d254462e10e4f0 |
completed | March 8, 2026, 6:52 a.m. |
| NEDg | Description generation | batch_69ad1d34656481909949b4bfd83c6142 |
completed | March 8, 2026, 6:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad1dd7b34c8190b6957be2112506dd |
completed | March 8, 2026, 6:57 a.m. |
Created at: March 4, 2026, 7:24 p.m.