Triple
T33209854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicholas Easter |
E850121
|
entity |
| Predicate | differenceInFilmAdaptation |
P125243
|
FINISHED |
| Object | case changed from tobacco to gun industry in the film |
—
|
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: case changed from tobacco to gun industry in the film | Statement: [Nicholas Easter, differenceInFilmAdaptation, case changed from tobacco to gun industry in the film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: differenceInFilmAdaptation Context triple: [Nicholas Easter, differenceInFilmAdaptation, case changed from tobacco to gun industry in the film]
-
A.
filmAdaptationChanges
chosen
Indicates that changes have been made when adapting a work from one medium (such as a book or play) into a film.
-
B.
fromFilmAdaptation
Indicates that something originates from, or is derived from, a film adaptation of another work.
-
C.
inFilmAdaptation
Indicates that one work or element appears within, or is incorporated into, a film adaptation of another work.
-
D.
notableDifferenceFromDisneyAdaptation
Indicates that something differs in a significant way from how it is portrayed in a Disney adaptation.
-
E.
filmAdaptationOfWork
Indicates that a film is an adaptation based on the narrative content of a specific original 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_69f3495fb92c819083ce65d0ddee7a76 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc5740fc81909774a4f65201a3ff |
completed | May 3, 2026, 7:42 a.m. |
Created at: May 1, 2026, 1:30 a.m.