Triple
T5454301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VistaVision |
E122441
|
entity |
| Predicate | standardFrameHeight |
P9788
|
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, standardFrameHeight, 8 perforations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: standardFrameHeight Context triple: [VistaVision, standardFrameHeight, 8 perforations]
-
A.
typicalHeight
Indicates the usual or characteristic height associated with an entity, such as a person, object, or species.
-
B.
originalHeight
Indicates the initial or starting height of an entity before any change, adjustment, or transformation occurs.
-
C.
platformHeight
Indicates the vertical distance or elevation of a platform relative to a defined reference level.
-
D.
hasHeight
chosen
Indicates that one entity possesses a specific vertical measurement or stature.
-
E.
typicalWidth
Indicates the usual or characteristic width associated with an entity, as opposed to an exact or measured width in a specific instance.
- 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_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. |
Created at: March 20, 2026, 2:08 p.m.