Triple
T21442443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Betamax |
E528969
|
entity |
| Predicate | laterMaximumRecordingTime |
P144355
|
FINISHED |
| Object | 5 hours |
—
|
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: 5 hours | Statement: [Betamax, laterMaximumRecordingTime, 5 hours]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterMaximumRecordingTime Context triple: [Betamax, laterMaximumRecordingTime, 5 hours]
-
A.
maximumRecordedLength
Indicates the greatest length value that has been observed and recorded for the entity in question.
-
B.
maximumRecordedLifespan
Indicates the greatest length of time that has ever been recorded for an individual of a given type to live.
-
C.
longestDurationAt
Indicates that one entity has the greatest length of time associated with a particular state, event, or activity compared to other relevant entities.
-
D.
maximumVideoLength
Indicates the greatest allowable or supported duration for a video in this context.
-
E.
latestTime
Indicates the most recent point in time at which the related event, state, or condition occurs or is valid among a set of possible times.
- 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_69e0c4569fa081908101baa24f8745db |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b70322bc8190ae693163ededf5a0 |
completed | April 22, 2026, 11:54 a.m. |
| PD | Predicate disambiguation | batch_69e631df1b38819088d3604854e697b4 |
completed | April 20, 2026, 2:02 p.m. |
| PDg | Predicate description generation | batch_69e63d2aca38819094d312078feaa436 |
completed | April 20, 2026, 2:50 p.m. |
Created at: April 16, 2026, 6:05 p.m.