Triple
T8112992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murda Beatz |
E189400
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Motorsport |
E186778
|
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: Motorsport | Statement: [Murda Beatz, notableWork, Motorsport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Motorsport Context triple: [Murda Beatz, notableWork, Motorsport]
-
A.
Racing
Racing is a professional women's soccer club based in Louisville, Kentucky, that competes in the National Women's Soccer League.
-
B.
MotorSport
chosen
"MotorSport" is a 2017 hip-hop single by Migos featuring Nicki Minaj and Cardi B, known for its high-profile collaboration and appearance on the album "Culture II."
-
C.
Formula 1
Formula 1 is a renowned line of sports watches by TAG Heuer inspired by the speed, precision, and aesthetics of top-tier motor racing.
-
D.
Formula One
Formula One is the highest class of international single-seater auto racing, featuring technologically advanced open-wheel cars competing in a global championship series.
-
E.
Speedway
Speedway is a small town in Marion County, Indiana, best known as the home of the Indianapolis Motor Speedway and the Indianapolis 500 auto race.
- 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_69ca82baad008190ab2859712b9b1607 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb432d7dfc8190b9c980f32c7b4623 |
completed | March 31, 2026, 3:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc9433a5848190aac09a2589061b53 |
completed | April 1, 2026, 3:42 a.m. |
Created at: March 30, 2026, 5:32 p.m.