Triple
T22144486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dani Pedrosa |
E547249
|
entity |
| Predicate | sponsoredBy |
P67
|
FINISHED |
| Object | Red Bull |
—
|
NE NERFINISHED |
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: [Dani Pedrosa, sponsoredBy, Red Bull]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Red Bull Context triple: [Dani Pedrosa, sponsoredBy, 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.
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.
-
C.
Red Bull & Hennessy
"Red Bull & Hennessy" is a song featured on the album *On the Line* by American singer-songwriter Jenny Lewis.
-
D.
Red Bull Orange Edition
Red Bull Orange Edition is a flavored variant of Red Bull energy drink featuring an orange (often orange-kumquat or tangerine) taste while providing the brand’s signature energy-boosting formula.
-
E.
the Red Bull
The Red Bull is a fearsome, fiery creature of immense power that drives unicorns into hiding in Peter S. Beagle’s fantasy novel "The Last Unicorn."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e3a95d88190a3bd80d9471976c3 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129efd52c8190ab0acff5bbfc0d77 |
completed | April 28, 2026, 9:43 p.m. |
Created at: April 16, 2026, 8:33 p.m.