Triple
T22769526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bandersnatch |
E563215
|
entity |
| Predicate | maximumViewingTime |
P19791
|
FINISHED |
| Object | over 2 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: over 2 hours | Statement: [Bandersnatch, maximumViewingTime, over 2 hours]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumViewingTime Context triple: [Bandersnatch, maximumViewingTime, over 2 hours]
-
A.
typicalViewingTime
Indicates the usual or most common amount of time an entity is viewed or watched under normal circumstances.
-
B.
maximumVideoLength
chosen
Indicates the greatest allowable or supported duration for a video in this context.
-
C.
screeningTime
Indicates the scheduled time at which a screening (such as a film, show, or test) is set to occur.
-
D.
viewedDuring
Indicates that one entity is being watched, observed, or visually experienced by another within a specified time period or event.
-
E.
intendedDuration
Indicates the planned or expected length of time for which an action, event, or state is meant to occur or remain in effect.
- 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_69e24552e11c81909c2d61578a558bd7 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17b59c9cc8190a6edd68f3209a672 |
completed | April 29, 2026, 3:30 a.m. |
| PD | Predicate disambiguation | batch_69eed2b88d88819096015deb6a648801 |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:27 p.m.