Triple
T31498132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S-Cinetone |
E803603
|
entity |
| Predicate | advantageOverSLog3 |
P172257
|
FINISHED |
| Object | faster delivery without heavy grading |
—
|
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: faster delivery without heavy grading | Statement: [S-Cinetone, advantageOverSLog3, faster delivery without heavy grading]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: advantageOverSLog3 Context triple: [S-Cinetone, advantageOverSLog3, faster delivery without heavy grading]
-
A.
disadvantageComparedToSLog3
Indicates that something is at a disadvantage or performs worse when compared specifically to S-Log3.
-
B.
usesLogarithmBase
Indicates that one quantity or expression is defined, computed, or interpreted using a logarithm with a specified base.
-
C.
logarithmBaseDetermines
Indicates that the chosen base of a logarithm determines how a quantity is expressed or scaled in logarithmic terms.
-
D.
alternativeLogarithmBase
Indicates that one logarithmic expression is represented using a different base than another, but refers to the same underlying logarithmic relationship.
-
E.
advantageOverEcho
Indicates that one entity possesses an advantage or superiority over another entity referred to as Echo.
- 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_69f6a9603b208190b3533ea2b441514c |
completed | May 3, 2026, 1:48 a.m. |
| PD | Predicate disambiguation | batch_69f6a7548eb48190a69b60a3c6ad53b9 |
completed | May 3, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f6a915ead881909463ae46419c343e |
completed | May 3, 2026, 1:47 a.m. |
Created at: April 30, 2026, 9:42 p.m.