Triple
T5454298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VistaVision |
E122441
|
entity |
| Predicate | filmTransportOrientation |
P64122
|
FINISHED |
| Object | horizontal |
—
|
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: horizontal | Statement: [VistaVision, filmTransportOrientation, horizontal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmTransportOrientation Context triple: [VistaVision, filmTransportOrientation, horizontal]
-
A.
filmTransportMechanism
Indicates the mechanism or method by which film is physically moved or advanced through a camera, projector, or similar device.
-
B.
sessionOrientation
Indicates the directional or spatial alignment relationship established between entities within a session or interaction context.
-
C.
filmDirection
Indicates that one entity is the director responsible for overseeing the creative and practical aspects of producing the film represented by the other entity.
-
D.
valueOrientation
Indicates how an entity’s preferences, priorities, or attitudes are directed toward particular values or value systems.
-
E.
projectionFormat
Indicates the specific technical format or method used to project visual content (such as film or digital media) onto a display surface.
- 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.