Triple
T27396762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elaine Dickinson |
E691709
|
entity |
| Predicate | appearsInGenreParodyOf |
P10352
|
FINISHED |
| Object | Airport (film series) |
—
|
NE NERFINISHED |
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: Airport (film series) | Statement: [Elaine Dickinson, appearsInGenreParodyOf, Airport (film series)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInGenreParodyOf Context triple: [Elaine Dickinson, appearsInGenreParodyOf, Airport (film series)]
-
A.
filmGenreParodied
Indicates that one work humorously imitates, mocks, or satirizes the conventions and characteristics of a particular film genre.
-
B.
parodies
chosen
Indicates that one entity imitates another in an exaggerated or humorous way, often to criticize or comment on the original.
-
C.
genreOfComedy
Indicates that something belongs to or is categorized within the comedy genre.
-
D.
appearsInAdaptationBy
Indicates that an entity is featured or present in an adaptation created by a specified adapter (e.g., author, director, or studio).
-
E.
genreOfAppearance
Indicates the genre or type of creative work in which an entity appears.
- 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_69ef5204f7048190bf226a129858fc5b |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f6b903538481909cffcb6cc1cc0e70 |
completed | May 3, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69f6b626120c819097c9ad04487570d7 |
completed | May 3, 2026, 2:42 a.m. |
Created at: April 27, 2026, 12:28 p.m.