Triple
T32061940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HLS |
E818767
|
entity |
| Predicate | segmentDurationTypical |
P173503
|
FINISHED |
| Object | 2 to 10 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: 2 to 10 seconds | Statement: [HLS, segmentDurationTypical, 2 to 10 seconds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: segmentDurationTypical Context triple: [HLS, segmentDurationTypical, 2 to 10 seconds]
-
A.
typicalRecordingDuration
Indicates the usual or standard length of time that something is recorded.
-
B.
typicalMasterDuration
Indicates the usual or standard length of time for which a master (e.g., a primary or controlling entity) remains in effect or holds its role.
-
C.
typicalViewingTime
Indicates the usual or most common amount of time an entity is viewed or watched under normal circumstances.
-
D.
sessionLength
Indicates the duration of time that a particular session lasts from start to end.
-
E.
timeSpanOfFootage
Indicates the duration of time covered by a given piece of footage.
- 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_69f348fdacec8190b9f74375ca3b2094 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b56ed31481908c3e5d749e46bad9 |
completed | May 3, 2026, 2:39 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a7bdb481908d16a32f49e38c2c |
completed | May 3, 2026, 2:32 a.m. |
| PDg | Predicate description generation | batch_69f6b49339048190b617a6749f648825 |
completed | May 3, 2026, 2:36 a.m. |
Created at: May 1, 2026, 12:22 a.m.