Triple
T31498116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S-Cinetone |
E803603
|
entity |
| Predicate | gammaCurveType |
P171705
|
FINISHED |
| Object | cine-style gamma curve |
—
|
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: cine-style gamma curve | Statement: [S-Cinetone, gammaCurveType, cine-style gamma curve]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gammaCurveType Context triple: [S-Cinetone, gammaCurveType, cine-style gamma curve]
-
A.
assumedDisplayGamma
Indicates that a specific gamma value is presumed to characterize the display’s tone response or brightness mapping behavior.
-
B.
usesEOTF
Indicates that one entity applies or relies on a specific Electro-Optical Transfer Function (EOTF) to convert or interpret image signal values.
-
C.
commonlyUsedCurve
Indicates that the referenced curve is widely adopted or frequently used in common practice or standard applications.
-
D.
targetSystemGamma
Indicates a relationship where an entity is associated with, directed toward, or operates within a specific system identified as “Gamma.”
-
E.
screenCurvature
Indicates that one entity has a specific degree or type of curvature in its screen surface relative to another entity or a defined standard.
- 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_69f348cae52081909fa8e5f697523ae3 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a1eac8688190afdf5732cedf086d |
completed | May 3, 2026, 1:16 a.m. |
| PD | Predicate disambiguation | batch_69f69fe82e5c81909da9db0a2f3bba6d |
completed | May 3, 2026, 1:07 a.m. |
| PDg | Predicate description generation | batch_69f6a0e920cc8190a943fdd0594906c5 |
completed | May 3, 2026, 1:12 a.m. |
Created at: April 30, 2026, 9:42 p.m.