Triple
T12165267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super Panavision 70 |
E289817
|
entity |
| Predicate | perforationsPerFrame |
P13454
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Super Panavision 70, perforationsPerFrame, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: perforationsPerFrame Context triple: [Super Panavision 70, perforationsPerFrame, 5]
-
A.
fieldsPerFrame
Indicates the number of discrete fields that compose each video frame in an interlaced video signal.
-
B.
filmPerforationType
chosen
Indicates the specific style or pattern of perforations used along the edges of a film stock.
-
C.
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.
-
D.
negativePerforationPitch
Indicates that one entity has a perforation spacing or pitch value that is oriented or measured in a negative direction relative to a defined reference.
-
E.
framesAs
Indicates how one entity presents, characterizes, or interprets another entity or situation in a particular light or 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91621ca6c81908365732f361aef13 |
completed | April 10, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69d9150e85348190b9b47cda4a17dcd0 |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:50 p.m.