Triple
T37676696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Judge Presents: Tales from the Tour Bus |
E938114
|
entity |
| Predicate | featuresStoryTone |
P204339
|
FINISHED |
| Object | humorous |
—
|
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: humorous | Statement: [Mike Judge Presents: Tales from the Tour Bus, featuresStoryTone, humorous]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresStoryTone Context triple: [Mike Judge Presents: Tales from the Tour Bus, featuresStoryTone, humorous]
-
A.
featuresStorytellingLyrics
Indicates that the subject’s lyrics narrate a story or sequence of events rather than focusing solely on abstract or non-narrative content.
-
B.
speakerFeatures
Indicates that certain characteristics, attributes, or properties are associated with a speaker in a given context.
-
C.
storyBy
Indicates that one entity is the creator or author of the story associated with another entity.
-
D.
sectionNarrator
Indicates that a given entity serves as the narrator or narrative voice for a particular section of a work.
-
E.
storyArtistOn
Indicates that a person serves as the story artist responsible for the narrative or storyboarding work on a particular project or production.
- F. None of above. chosen
Provenance (4 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_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a1772e48190ba738c6d11b321e2 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c84ecbc81908232e5215355f43b |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:18 p.m.