Triple
T10964155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kill the Lights |
E259051
|
entity |
| Predicate | includesTrack |
P3284
|
FINISHED |
| Object | Fast |
E897267
|
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: Fast | Statement: [Kill the Lights, includesTrack, Fast]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fast Context triple: [Kill the Lights, includesTrack, Fast]
-
A.
Fast
Fast is a surname most notably associated with American novelist and screenwriter Howard Fast, known for his historical and political works.
-
B.
Fast
chosen
"Fast" is a country song by Luke Bryan that reflects on the fleeting nature of time, relationships, and life’s milestones.
-
C.
FAST
FAST is a U.S. federal law that authorizes long-term funding and policy for the nation’s surface transportation infrastructure, including highways, transit, and rail.
-
D.
FAST
FAST is the public bus transit system serving the Fairfield and Suisun City area in Solano County, California.
-
E.
Quick
Quick is a character associated with the boxer and entertainer Sugar Ray, likely appearing in media or promotional contexts connected to his persona.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77147f7108190a3b68ba1dd1c130e |
completed | April 9, 2026, 9:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3449113f08190b83ffbf1b4c46518 |
completed | April 18, 2026, 8:45 a.m. |
Created at: April 8, 2026, 9:23 p.m.