Triple
T22582605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neela |
E544603
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Tokyo Drift racing crew |
—
|
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: Tokyo Drift racing crew | Statement: [Neela, partOf, Tokyo Drift racing crew]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tokyo Drift racing crew Context triple: [Neela, partOf, Tokyo Drift racing crew]
-
A.
Tokyo Drifting
"Tokyo Drifting" is a genre-blending, hip-hop-influenced single by British indie band Glass Animals, featuring rapper Denzel Curry and known for its swaggering alter-ego concept and bold production.
-
B.
The Fast and the Furious: Tokyo Drift
chosen
The Fast and the Furious: Tokyo Drift is a 2006 action film in the Fast & Furious franchise that centers on underground drift racing culture in Tokyo, Japan.
-
C.
Drift
"Drift" is a song performed by American singer and actress Blake Perlman, known for its atmospheric, cinematic style.
-
D.
Drift
Drift is a track from the rhythm game Magnifique, known for its dynamic beat and engaging gameplay patterns.
-
E.
Drift
Drift is a samurai-inspired Autobot warrior who transforms into both a helicopter and a Bugatti in the film "Transformers: Age of Extinction."
- 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_69e11e30d05481909df915354c89f0d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f15ff26d6481908cc058f8c4b87e75 |
completed | April 29, 2026, 1:33 a.m. |
Created at: April 16, 2026, 8:53 p.m.