Triple
T36409753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Video 2000 |
E896843
|
entity |
| Predicate | recordingTimePerSide |
P99894
|
FINISHED |
| Object | up to 4 hours on early cassettes |
—
|
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: up to 4 hours on early cassettes | Statement: [Video 2000, recordingTimePerSide, up to 4 hours on early cassettes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recordingTimePerSide Context triple: [Video 2000, recordingTimePerSide, up to 4 hours on early cassettes]
-
A.
typicalRecordingDuration
Indicates the usual or standard length of time that something is recorded.
-
B.
recordDuration
chosen
Indicates the length of time for which something is recorded or captured.
-
C.
recordedWith
Indicates that something was captured, documented, or produced using a particular tool, device, medium, or method.
-
D.
mainRecordingPeriod
Indicates the primary time span during which the recording activity took place.
-
E.
recordingType
Indicates the specific kind or category of recording associated with an entity (e.g., audio, video, live, studio, etc.).
- 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_69f76e54ce408190849acc3f7758937c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fe066d62b48190867df334039be786 |
completed | May 8, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69fe03afde3c8190a5b9b0778d19eb1a |
completed | May 8, 2026, 3:39 p.m. |
Created at: May 3, 2026, 4:10 p.m.