Triple
T38455773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Standard Time, Vol. 6 |
E912310
|
entity |
| Predicate | isPartOfSeriesTheme |
P81008
|
FINISHED |
| Object | exploration of jazz standards |
—
|
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: exploration of jazz standards | Statement: [Standard Time, Vol. 6, isPartOfSeriesTheme, exploration of jazz standards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfSeriesTheme Context triple: [Standard Time, Vol. 6, isPartOfSeriesTheme, exploration of jazz standards]
-
A.
inSeriesTheme
chosen
Indicates that one entity serves as the thematic subject or focus within a particular series.
-
B.
partOfSeriesType
Indicates that something belongs to a series and specifies the type or category of that series.
-
C.
isTitleSeriesOf
Indicates that one entity is the title or name associated with a particular series (such as a book, film, or media franchise).
-
D.
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.
-
E.
basedInSeries
Indicates that one entity is set, located, or primarily takes place within the narrative world or context of a particular series.
- 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_69f76e84e2dc81908badf05b3aafa9ea |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a00372ff0e48190b3ed91f9bae9da6c |
completed | May 10, 2026, 7:43 a.m. |
| PD | Predicate disambiguation | batch_6a00359c1b8481909c1e43df9f5a789a |
completed | May 10, 2026, 7:37 a.m. |
Created at: May 3, 2026, 4:31 p.m.