Triple
T36777510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silhouette Challenge |
E908668
|
entity |
| Predicate | hasPlatformFeature |
P118536
|
FINISHED |
| Object | video filters |
—
|
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: video filters | Statement: [Silhouette Challenge, hasPlatformFeature, video filters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlatformFeature Context triple: [Silhouette Challenge, hasPlatformFeature, video filters]
-
A.
hasFeature
Indicates that an entity possesses, exhibits, or includes a particular characteristic, attribute, or component.
-
B.
targetPlatformFeature
chosen
Indicates that a particular feature is available on, or specifically associated with, a given target platform.
-
C.
hasPlatformType
Indicates that an entity is associated with or characterized by a specific type or category of platform.
-
D.
hasFeatureStatus
Indicates that an entity possesses a particular feature along with its current state or condition.
-
E.
hasDeepPlatform
Indicates that one entity possesses or provides a platform characterized by significant depth, capability, or extensiveness in supporting another entity’s activities or functions.
- 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_69f76e798aa08190ace31098d1b13e9f |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fe189fec148190aeef51b417ba15b0 |
completed | May 8, 2026, 5:08 p.m. |
| PD | Predicate disambiguation | batch_69fe17285b0881908de7569d8dbd20bd |
completed | May 8, 2026, 5:02 p.m. |
Created at: May 3, 2026, 4:12 p.m.