Triple
T20849317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swing: Pure Pleasure |
E513310
|
entity |
| Predicate | partOfSeriesGenre |
P123208
|
FINISHED |
| Object | jazz documentary series |
—
|
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: jazz documentary series | Statement: [Swing: Pure Pleasure, partOfSeriesGenre, jazz documentary series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfSeriesGenre Context triple: [Swing: Pure Pleasure, partOfSeriesGenre, jazz documentary series]
-
A.
hasGenreInSeries
Indicates that a particular genre is associated with, or applies to, a work as it appears within a specific series.
-
B.
curatedSeriesGenre
chosen
Indicates that a curated series is associated with, or categorized under, a particular genre.
-
C.
partOfSeriesWith
Indicates that one entity is a member or installment within the same series as another entity, linking them as related parts of a larger sequence or collection.
-
D.
filmSerialType
Indicates the type or category of a film serial to which a particular film or episode belongs.
-
E.
isEpisodeOfGenre
Indicates that a specific episode belongs to or is categorized under a particular genre.
- 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_69e0b4f4898081908209e58edb8f9c45 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c3520b0081908ce0f43e8f20b24c |
completed | April 21, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a593f481908beb457c29f1ce73 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:43 p.m.