Triple
T21061057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SKActionTimingMode |
E518846
|
entity |
| Predicate | linearDescription |
P264
|
FINISHED |
| Object | applies a constant rate of change over the action duration |
—
|
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: applies a constant rate of change over the action duration | Statement: [SKActionTimingMode, linearDescription, applies a constant rate of change over the action duration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linearDescription Context triple: [SKActionTimingMode, linearDescription, applies a constant rate of change over the action duration]
-
A.
curveDescription
Indicates that a curve is characterized or defined by a specific descriptive text or explanation.
-
B.
outputDescription
Indicates that an entity produces or generates a particular description as its output.
-
C.
isDescriptive
Indicates that one entity provides a description or characterization of another entity.
-
D.
describes
chosen
Indicates that one entity provides an explanation, representation, or account of another entity or concept.
-
E.
describedIn
Indicates that information about an entity is contained or documented within a specified source, such as a text, document, or media.
- 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_69e0b505ef108190b25dd4033e2ff7eb |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6feaf3edc81909423e039cac6bd87 |
completed | April 21, 2026, 4:35 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf9d71881908cd85dfc37db93ca |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:38 p.m.