Triple
T29403264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden Age of Hollywood serials |
E745709
|
entity |
| Predicate | typicalChapterCount |
—
|
GENERATED |
| Object | 12 to 15 chapters |
—
|
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: typicalChapterCount Context triple: [Golden Age of Hollywood serials, typicalChapterCount, 12 to 15 chapters]
-
A.
numberOfChapters
chosen
Indicates the total count of chapters associated with a given entity.
-
B.
chapterLength
Indicates the length or extent of a chapter, typically measured in units such as pages, words, or time.
-
C.
runtimePerChapterApprox
Indicates an approximate amount of time required to complete or experience each chapter.
-
D.
containsChapter
Indicates that one entity (typically a larger work or document) includes another entity as a chapter within its structure.
-
E.
chapterNumber
Indicates the specific ordinal position a chapter occupies within a larger ordered work, such as a book or document.
- F. None of above.
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_69f0a79eb7d081908c67197a5f347e68 |
completed | April 28, 2026, 12:27 p.m. |
Created at: April 28, 2026, 2:52 p.m.