Triple

T3410800
Position Surface form Disambiguated ID Type / Status
Subject Counter Logic Gaming E71887 entity
Predicate sponsor P67 FINISHED
Object Red Bull E33833 NE 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: Red Bull | Statement: [Counter Logic Gaming, sponsor, Red Bull]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Red Bull
Context triple: [Counter Logic Gaming, sponsor, Red Bull]
  • 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. Nuka-Cola
    Nuka-Cola is a fictional, highly recognizable soft drink brand in the Fallout video game universe, symbolizing the series’ retro-futuristic, post-apocalyptic setting.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ad85ac312481909e7027ced1456a9f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb9094b2881909262e58a470ed9d0 completed March 8, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34bdd99248190823875cae2531609 completed March 12, 2026, 11:27 p.m.
Created at: March 8, 2026, 3:15 p.m.