Triple
T5755026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chevy Runs Deep |
E126944
|
entity |
| Predicate | followedBySlogan |
P23420
|
FINISHED |
| Object | Find New Roads |
—
|
LITERAL 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: Find New Roads | Statement: [Chevy Runs Deep, followedBySlogan, Find New Roads]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followedBySlogan Context triple: [Chevy Runs Deep, followedBySlogan, Find New Roads]
-
A.
associatedWithFamousSlogan
chosen
Indicates that an entity is connected to, known for, or commonly linked with a particular famous slogan.
-
B.
sloganGivenBy
Indicates that a particular slogan is provided, coined, or assigned by a specific entity.
-
C.
followedByTitle
Indicates that one title directly succeeds another in a sequence or ordered list.
-
D.
sloganUsedIn
Indicates that a particular slogan is employed or featured within a specific context, such as a campaign, advertisement, or organization.
-
E.
followsBy
Indicates that one event, state, or entity occurs or comes immediately after another in a sequence or order.
- F. None of above.
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_69c00832aedc81909899801b141fa3b4 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02904dcf481909e4340a64ee1034e |
completed | March 22, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c021cc68648190bb86d049ebe80f12 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:49 p.m.