Triple
T5163886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MixBit |
E116501
|
entity |
| Predicate | hasMaximumClipLength |
P19791
|
FINISHED |
| Object | 16 seconds |
—
|
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: 16 seconds | Statement: [MixBit, hasMaximumClipLength, 16 seconds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMaximumClipLength Context triple: [MixBit, hasMaximumClipLength, 16 seconds]
-
A.
hasMaximumLength
Indicates that there is an upper limit on the length or size of something, beyond which it cannot extend.
-
B.
maximumVideoLength
chosen
Indicates the greatest allowable or supported duration for a video in this context.
-
C.
hasMaxLengthApprox
Indicates that something has a maximum length that is approximately equal to a specified value, allowing for some tolerance or imprecision.
-
D.
hasMaximumThickness
Indicates that an entity possesses a specified upper limit on its thickness.
-
E.
supportsVideoLengthRange
Indicates that an entity is compatible with or allows videos whose durations fall within a specified minimum-to-maximum time range.
- 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_69bd445edb3881909b93b34d260717fc |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd792936d48190825da8826448c1da |
completed | March 20, 2026, 4:43 p.m. |
| PD | Predicate disambiguation | batch_69bd77b36c008190b91011a9fa52b3d2 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:44 p.m.