Triple
T18738175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexandra Cunningham |
E458219
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Fastlane |
—
|
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: Fastlane | Statement: [Alexandra Cunningham, notableWork, Fastlane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fastlane Context triple: [Alexandra Cunningham, notableWork, Fastlane]
-
A.
Fastlane
chosen
Fastlane is an early-2000s American action-crime television series known for its flashy style, high-octane car chases, and undercover cop storyline.
-
B.
Fastlane
Fastlane is a swipe-accessible activity stream interface on Nokia Asha devices that presents recent apps, notifications, and social updates in a single, timeline-like view.
-
C.
Fast Lane
"Fast Lane" is a high-energy hip hop track by the duo Bad Meets Evil, showcasing rapid-fire lyricism and intricate wordplay by Eminem and Royce da 5'9".
-
D.
Fast Lane
Fast Lane is a super-speed ability that allows its user to move and react at extraordinarily accelerated rates compared to normal beings.
-
E.
Fastiv
Fastiv is a historic city in northern Ukraine known as a regional railway hub and industrial center southwest of Kyiv.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5768b80ac8190bc05628d64f86fc9 |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 10, 2026, 11:51 a.m.