Triple

T10559327
Position Surface form Disambiguated ID Type / Status
Subject X Games E249172 entity
Predicate sponsor P67 FINISHED
Object Monster Energy E697388 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: Monster Energy | Statement: [X Games, sponsor, Monster Energy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monster Energy
Context triple: [X Games, sponsor, Monster Energy]
  • A. Monster Energy chosen
    Monster Energy is a popular brand of energy drink known for its high caffeine content, bold flavors, and strong association with extreme sports and youth culture.
  • 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. Red Bull Energy Drink
    Red Bull Energy Drink is a globally popular caffeinated beverage known for boosting energy and alertness, especially associated with extreme sports and high-adrenaline activities.
  • D. 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.
  • E. V8 Energy
    V8 Energy is a line of energy drinks made by V8 that combines fruit and vegetable juices with added caffeine and vitamins for a low-calorie energy boost.
  • 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5271e65688190bcf7931373d87f94 completed April 7, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d93486c7288190a2ccb822fc968919 completed April 10, 2026, 5:33 p.m.
Created at: April 6, 2026, 12:35 p.m.