Triple
T19632488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 60 Minutes Silence |
E471304
|
entity |
| Predicate | cameraPosition |
P43677
|
FINISHED |
| Object | fixed frontal view |
—
|
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: fixed frontal view | Statement: [60 Minutes Silence, cameraPosition, fixed frontal view]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cameraPosition Context triple: [60 Minutes Silence, cameraPosition, fixed frontal view]
-
A.
conePosition
Indicates the spatial position or placement of a cone relative to a reference frame or environment.
-
B.
sceneCenter
Indicates that one entity serves as the central or focal point of a scene in relation to another entity.
-
C.
cameraConfiguration
chosen
Indicates the specific setup or arrangement of a camera’s parameters or components in a given context.
-
D.
currentPosition
Indicates the present role, job, or status an entity currently holds within a given context.
-
E.
typicalCameraPlacement
Indicates the usual or standard spatial position where a camera is placed relative to a scene or subject.
- 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_69d8e511f28481909f4bc3ea9191e54a |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e6410449ec8190b8c20c0e09cd9156 |
completed | April 20, 2026, 3:06 p.m. |
| PD | Predicate disambiguation | batch_69e514e5cb108190ae260e466c447314 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:44 p.m.