Triple
T8135623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super Technirama 70 |
E189961
|
entity |
| Predicate | projectionAspectRatio |
P7506
|
FINISHED |
| Object | approximately 2.20:1 |
—
|
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: approximately 2.20:1 | Statement: [Super Technirama 70, projectionAspectRatio, approximately 2.20:1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: projectionAspectRatio Context triple: [Super Technirama 70, projectionAspectRatio, approximately 2.20:1]
-
A.
aspectRatio
Indicates the proportional relationship between an entity’s width and its height.
-
B.
mediaAspect
chosen
Indicates the specific aspect ratio or dimensional proportion of a media item in relation to its width and height.
-
C.
projectionFormat
Indicates the specific technical format or method used to project visual content (such as film or digital media) onto a display surface.
-
D.
pixelScale
Indicates the ratio or conversion factor between pixel units and real-world or coordinate-space units in a representation or image.
-
E.
pegRatio
Indicates the relationship between a company’s price-to-earnings (P/E) ratio and its expected earnings growth rate, expressing how highly the market values each unit of anticipated growth.
- 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_69ca82bcb4848190a9a9d036ad768642 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4c4c2e388190b86854f8b1765e61 |
completed | March 31, 2026, 4:23 a.m. |
| PD | Predicate disambiguation | batch_69cb3696379c8190a20965e59ed8f370 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:35 p.m.