Triple
T31568933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "Elysium" original motion picture soundtrack |
E805497
|
entity |
| Predicate | hasDystopianThemes |
P171625
|
FINISHED |
| Object | true |
—
|
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: true | Statement: ["Elysium" original motion picture soundtrack, hasDystopianThemes, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDystopianThemes Context triple: ["Elysium" original motion picture soundtrack, hasDystopianThemes, true]
-
A.
hasDystopianTheme
chosen
Indicates that the subject work features a dystopian setting or atmosphere, typically involving oppressive societal conditions, loss of freedoms, or bleak future scenarios.
-
B.
hasUtopianLiterature
Indicates that an entity is associated with, contains, or features works of utopian literature.
-
C.
hasKantianTheme
Indicates that something embodies or prominently features themes, ideas, or principles derived from Kantian philosophy.
-
D.
hasDramaticElements
Indicates that something contains features or qualities characteristic of drama, such as heightened emotion, tension, or conflict.
-
E.
hasCinematicThemes
Indicates that something incorporates or is characterized by themes, motifs, or stylistic elements commonly associated with cinema or film.
- 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_69f348d2ee94819091918d1789398c29 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca3dedc81908b519d53d2909868 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 30, 2026, 10:18 p.m.