Triple
T5454300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VistaVision |
E122441
|
entity |
| Predicate | frameWidth |
P64123
|
FINISHED |
| Object | 8 perforations |
—
|
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: 8 perforations | Statement: [VistaVision, frameWidth, 8 perforations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frameWidth Context triple: [VistaVision, frameWidth, 8 perforations]
-
A.
frameSize
Indicates the size or dimensions of a frame associated with an entity.
-
B.
frameDuration
Indicates the length of time that a single frame in a sequence (such as video or animation) is displayed before advancing to the next frame.
-
C.
frameSizeMaximum
Indicates the maximum allowable size or dimensions that a frame can have in a given context.
-
D.
frame
Indicates placing or presenting something within a particular context, structure, or perspective that shapes how it is interpreted.
-
E.
frameType
Indicates the specific structural or categorical kind of frame associated with an entity or relation.
- F. None of above. chosen
Provenance (4 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_69bd46424248819085282ddf50a565f3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd927c946c8190aef40679199fede3 |
completed | March 20, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69bd91a0d96c8190bd1299edbf764bbb |
completed | March 20, 2026, 6:27 p.m. |
| PDg | Predicate description generation | batch_69bd927b0b4c81909d5e0f594822e3f9 |
completed | March 20, 2026, 6:31 p.m. |
Created at: March 20, 2026, 2:08 p.m.