Triple
T28747598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Tarnished Angels |
E731419
|
entity |
| Predicate | filmingAspectRatio |
P1991
|
FINISHED |
| Object | CinemaScope |
—
|
NE NERFINISHED |
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: CinemaScope | Statement: [The Tarnished Angels, filmingAspectRatio, CinemaScope]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmingAspectRatio Context triple: [The Tarnished Angels, filmingAspectRatio, CinemaScope]
-
A.
aspectRatio
chosen
Indicates the proportional relationship between an entity’s width and its height.
-
B.
spatialAspect
Indicates how something is positioned, oriented, or arranged in space relative to other entities or a reference frame.
-
C.
aspectRatioWidth
Indicates the proportional width component in an aspect ratio relationship between dimensions.
-
D.
aspectRatioRangeAllowed
Indicates that only images or media whose aspect ratios fall within a specified minimum-to-maximum range are permitted.
-
E.
typicalAspect
Indicates that something represents a characteristic or commonly occurring aspect of another thing or situation.
- 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_69f043ecb5c081909ec9da1172d68ece |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f658ee40088190b71e1219407690d0 |
completed | May 2, 2026, 8:05 p.m. |
| PD | Predicate disambiguation | batch_69f65760fd3081908ffe014a5e2bf069 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 6:06 a.m.