Triple
T31675639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Late Show |
E808389
|
entity |
| Predicate | featuresGenreParodyOf |
P152538
|
FINISHED |
| Object | film noir |
—
|
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: film noir | Statement: [The Late Show, featuresGenreParodyOf, film noir]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresGenreParodyOf Context triple: [The Late Show, featuresGenreParodyOf, film noir]
-
A.
filmGenreParodied
chosen
Indicates that one work humorously imitates, mocks, or satirizes the conventions and characteristics of a particular film genre.
-
B.
featuresMusicVideoParodyOf
Indicates that the music video for one work is a parody of the music video for another work.
-
C.
parodiesWorkType
Indicates that one work humorously imitates or satirizes another work of a particular type or genre.
-
D.
fandomGenre
Indicates that something belongs to, is associated with, or is categorized under a particular fandom-related genre.
-
E.
hasParodyOrAnswerSong
Indicates that one work is a parody of, or a direct answer/response to, another work.
- 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_69f348dcf5d48190ac25b1365ae717a8 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a008ebb22408190a2293bced40a7e53 |
completed | May 10, 2026, 1:57 p.m. |
| PD | Predicate disambiguation | batch_6a008e8715dc8190ab23292605901bf4 |
completed | May 10, 2026, 1:56 p.m. |
Created at: April 30, 2026, 11:02 p.m.