Triple
T5143031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McG |
E116003
|
entity |
| Predicate | created |
P538
|
FINISHED |
| Object | Fastlane |
E345545
|
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: Fastlane | Statement: [McG, created, Fastlane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fastlane Context triple: [McG, created, 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.
Fastiv
Fastiv is a historic city in northern Ukraine known as a regional railway hub and industrial center southwest of Kyiv.
-
C.
Quickway
Quickway is a major limited-access highway corridor in New York State that carries much of the traffic of NY Route 17 and forms a key east–west route across the southern part of the state.
-
D.
Speedy
Speedy is a 1928 silent comedy film starring Harold Lloyd, known for its energetic New York City setting and memorable Coney Island and baseball sequences.
-
E.
Accelerate
Accelerate is a song by the Christian rock band Liberation, known for its energetic style and uplifting, faith-centered lyrics.
- 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_69bd4446c0e08190a7c29dc74976bf03 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7883004881909c763da818d9b6e2 |
completed | March 20, 2026, 4:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69becfec5c108190a3882c25118179a7 |
completed | March 21, 2026, 5:05 p.m. |
Created at: March 20, 2026, 1:43 p.m.