Triple
T22769525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bandersnatch |
E563215
|
entity |
| Predicate | minimumViewingTime |
P149662
|
FINISHED |
| Object | about 40 minutes |
—
|
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: about 40 minutes | Statement: [Bandersnatch, minimumViewingTime, about 40 minutes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minimumViewingTime Context triple: [Bandersnatch, minimumViewingTime, about 40 minutes]
-
A.
typicalViewingTime
Indicates the usual or most common amount of time an entity is viewed or watched under normal circumstances.
-
B.
timeRequiredToRead
Indicates the amount of time needed for an entity (such as a person) to read a given item or content.
-
C.
screeningTime
Indicates the scheduled time at which a screening (such as a film, show, or test) is set to occur.
-
D.
readingTime
Indicates the duration or amount of time an entity spends (or is expected to spend) reading another entity.
-
E.
maximumVideoLength
Indicates the greatest allowable or supported duration for a video in this context.
- 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_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. |
| PDg | Predicate description generation | batch_69eeeb5681f88190821129ced752f190 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:27 p.m.