Triple
T20654348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kevin Truckenmiller |
E507581
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object | Quietdrive |
—
|
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: Quietdrive | Statement: [Kevin Truckenmiller, memberOf, Quietdrive]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quietdrive Context triple: [Kevin Truckenmiller, memberOf, Quietdrive]
-
A.
Quietdrive
chosen
Quietdrive is an American pop-punk/alternative rock band known for melodic, radio-friendly songs and energetic covers, including their popular rendition of Cyndi Lauper’s “Time After Time.”
-
B.
GoCar
GoCar is Gojek’s app-based ride-hailing service that connects passengers with private car drivers for on-demand transportation.
-
C.
Ventra
Ventra is the contactless fare payment system used across Chicago’s public transit network, including buses and trains.
-
D.
Green Car service
Green Car service is the first-class, reserved-seat offering on JR West Shinkansen trains, providing more spacious seating and enhanced onboard comfort compared to standard cars.
-
E.
GrabCar
GrabCar is a ride-hailing service under the Grab platform that connects passengers with private car drivers via a mobile app across Southeast Asia.
- 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_69e0b4bf58c081908e52a4500e03ff83 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b2ec90e881909250884483429acf |
completed | April 20, 2026, 11:12 p.m. |
Created at: April 16, 2026, 11:43 a.m.