Triple
T29403265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden Age of Hollywood serials |
E745709
|
entity |
| Predicate | typicalRuntimePerChapter |
P83846
|
FINISHED |
| Object | about 15 to 20 minutes |
—
|
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: about 15 to 20 minutes | Statement: [Golden Age of Hollywood serials, typicalRuntimePerChapter, about 15 to 20 minutes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalRuntimePerChapter Context triple: [Golden Age of Hollywood serials, typicalRuntimePerChapter, about 15 to 20 minutes]
-
A.
runtimePerChapterApprox
chosen
Indicates an approximate amount of time required to complete or experience each chapter.
-
B.
chapterLength
Indicates the length or extent of a chapter, typically measured in units such as pages, words, or time.
-
C.
timeRequiredToRead
Indicates the amount of time needed for an entity (such as a person) to read a given item or content.
-
D.
typicalRuntimePerShort
Indicates the usual or average amount of time it takes to complete a short instance of the referenced activity or process.
-
E.
numberOfChapters
Indicates the total count of chapters associated with a given entity.
- 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_69f0a79eb7d081908c67197a5f347e68 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_6a01b841f5508190832bba00cf795bad |
completed | May 11, 2026, 11:06 a.m. |
| PD | Predicate disambiguation | batch_6a01b59541fc8190a9b13a55327c4aa1 |
completed | May 11, 2026, 10:55 a.m. |
Created at: April 28, 2026, 2:52 p.m.