Triple
T32193884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lateness of the Hour |
E822346
|
entity |
| Predicate | isVideotapeEpisode |
P169631
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [The Lateness of the Hour, isVideotapeEpisode, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isVideotapeEpisode Context triple: [The Lateness of the Hour, isVideotapeEpisode, true]
-
A.
isEpisodeOfType
Indicates that an episode belongs to or is classified under a specific type or category.
-
B.
isVideoOf
chosen
Indicates that one entity is a video recording or representation depicting, documenting, or illustrating the other entity.
-
C.
isTelevisionShowType
Indicates that one entity is a specific type or category of television show in relation to another entity.
-
D.
isBlackAndWhiteEpisodeOf
Indicates that an episode is a black-and-white version belonging to a particular series or show.
-
E.
isBottleEpisode
Indicates that the episode takes place almost entirely in a single location with a limited cast and minimal sets or effects, typically to reduce production costs.
- 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_69f3490819cc81909bae1f8ce99423c5 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bb35369c8190992fe7dad36a2a9d |
completed | May 3, 2026, 3:04 a.m. |
| PD | Predicate disambiguation | batch_69f6b3aa892481908d29283a074e6722 |
completed | May 3, 2026, 2:32 a.m. |
Created at: May 1, 2026, 12:35 a.m.