Triple
T23263810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Driver (Two-Lane Blacktop) |
E582087
|
entity |
| Predicate | cultStatusContext |
P15621
|
FINISHED |
| Object | cult road movie |
—
|
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: cult road movie | Statement: [The Driver (Two-Lane Blacktop), cultStatusContext, cult road movie]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cultStatusContext Context triple: [The Driver (Two-Lane Blacktop), cultStatusContext, cult road movie]
-
A.
cultStatus
chosen
Indicates that something has achieved a devoted, niche following or admiration that is disproportionate to its mainstream popularity.
-
B.
cultureStatus
Indicates the current condition or state of a culture (e.g., biological, social, or organizational) in relation to its development, viability, or activity.
-
C.
partyStatusContext
Indicates the contextual status or role a party holds within a specific situation, event, or legal/transactional framework.
-
D.
status
Indicates the current condition, state, or standing of an entity within a given context.
-
E.
classStatus
Indicates the current academic or enrollment standing of an entity within a class or course context.
- 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_69e246079f58819085eaa9c260906880 |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f194cb76c48190869915cd93b44fcc |
completed | April 29, 2026, 5:19 a.m. |
| PD | Predicate disambiguation | batch_69effce4d704819092826931d430e8c4 |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:11 p.m.