Triple
T37676695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Judge Presents: Tales from the Tour Bus |
E938114
|
entity |
| Predicate | featuresStoryType |
P57060
|
FINISHED |
| Object | behind-the-scenes music stories |
—
|
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: behind-the-scenes music stories | Statement: [Mike Judge Presents: Tales from the Tour Bus, featuresStoryType, behind-the-scenes music stories]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresStoryType Context triple: [Mike Judge Presents: Tales from the Tour Bus, featuresStoryType, behind-the-scenes music stories]
-
A.
featuresNewStorylines
Indicates that something includes or introduces previously unseen or original narrative arcs or plot developments.
-
B.
featuredContentType
chosen
Indicates the specific type or category of content that is highlighted or promoted as featured.
-
C.
featuredSetType
Indicates the specific category or type assigned to a featured set within a collection or system.
-
D.
featureType
Indicates the specific kind or category of feature that characterizes or distinguishes an entity.
-
E.
featureTypeCatalog
Indicates that an entity is associated with, or defined by, a catalog that specifies the types of features it can include or reference.
- 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_69f76ed7b1408190ba8c93c53cb8becf |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1772e48190ba738c6d11b321e2 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:18 p.m.