Triple
T35627968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Table for 3 |
E1029507
|
entity |
| Predicate | numberOfGuestsPerEpisode |
—
|
GENERATED |
| Object | 3 |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfGuestsPerEpisode Context triple: [Table for 3, numberOfGuestsPerEpisode, 3]
-
A.
numberOfEpisodes
Indicates the total count of episodes associated with a given entity, such as a series or season.
-
B.
hasEpisodeCountPerCharacter
Indicates the number of episodes associated with or featuring each individual character.
-
C.
partOfEpisodeCount
Indicates that one entity specifies the number of episodes contained within another entity (such as a season, series, or collection).
-
D.
inEpisodeSeriesHost
Indicates that an entity serves as the host of a particular episode within a series.
-
E.
segmentCountPerEpisode
Indicates the number of distinct segments contained within a single episode.
- F. None of above. chosen
Provenance (1 batch)
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_69f76e07bb0c8190968ea2d836fc42c9 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:05 p.m.