Triple
T712560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | YouTube Shorts |
E14241
|
entity |
| Predicate | typicalVideoLength |
P18065
|
FINISHED |
| Object | under 60 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: under 60 seconds | Statement: [YouTube Shorts, typicalVideoLength, under 60 seconds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalVideoLength Context triple: [YouTube Shorts, typicalVideoLength, under 60 seconds]
-
A.
typicalRecordingDuration
Indicates the usual or standard length of time that something is recorded.
-
B.
typicalLength
chosen
Indicates the usual or characteristic length associated with an entity or phenomenon.
-
C.
musicVideoFeatures
Indicates that a music video includes or prominently showcases a particular person, group, or element.
-
D.
typicalDurationDays
Indicates the usual or expected number of days that an associated event, process, or state typically lasts.
-
E.
transmissionDuration
Indicates the length of time over which a transmission or transfer of data, signal, or content occurs.
- 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_69a4934a36e081909e7abef98b898a4e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a77fcc6881908a025bb21e44ad56 |
completed | March 1, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69a4a4f221b081909fbaa689fb20eb3e |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:36 p.m.