Triple
T33995459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexandra Paul as Connie Swail |
E871660
|
entity |
| Predicate | filmIsParodyOf |
P152538
|
FINISHED |
| Object | original Dragnet TV series tone |
—
|
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: original Dragnet TV series tone | Statement: [Alexandra Paul as Connie Swail, filmIsParodyOf, original Dragnet TV series tone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmIsParodyOf Context triple: [Alexandra Paul as Connie Swail, filmIsParodyOf, original Dragnet TV series tone]
-
A.
filmGenreParodied
chosen
Indicates that one work humorously imitates, mocks, or satirizes the conventions and characteristics of a particular film genre.
-
B.
isSilentComedy
Indicates that the work is a comedy in which humor is conveyed without spoken dialogue, relying primarily on visual action and physical expression.
-
C.
filmWithinFilmTitle
Indicates that a title refers to a fictional film that appears within another (primary) film.
-
D.
filmBasedOn
Indicates that a film is adapted from or derived from the story, characters, or events of another work.
-
E.
hasFictionalFilmWithinPlay
Indicates that within a theatrical play, there is a fictional film that exists or is depicted as part of the play’s narrative or structure.
- 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_69f3499f8cbc81908de6ec89fa91ea8f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f70b966860819089cf92927f47c5f1 |
completed | May 3, 2026, 8:47 a.m. |
| PD | Predicate disambiguation | batch_69f70abe43e08190b2a30930d96247c1 |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:50 a.m.