Triple
T31203980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Preservation Act 2 |
E795549
|
entity |
| Predicate | hasDystopianTheme |
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: [Preservation Act 2, hasDystopianTheme, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDystopianTheme Context triple: [Preservation Act 2, hasDystopianTheme, true]
-
A.
hasUtopianLiterature
Indicates that an entity is associated with, contains, or features works of utopian literature.
-
B.
hasKantianTheme
Indicates that something embodies or prominently features themes, ideas, or principles derived from Kantian philosophy.
-
C.
hasDoppelgangerTheme
Indicates that something features or involves a doppelganger-related theme, such as doubles, look-alikes, or mirrored identities.
-
D.
fictionalTheme
Indicates that a work, element, or context is centered around or characterized by a fictional theme or motif.
-
E.
hasCentralTheme
Indicates that one entity serves as the primary or dominant theme or subject matter of another entity.
- F. None of above. chosen
Provenance (4 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_69f224d8c6608190b7882466521f62be |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6a1ac56b88190a820434b65c9fa23 |
completed | May 3, 2026, 1:15 a.m. |
| PD | Predicate disambiguation | batch_69f69fe463248190aa78128abeab1183 |
completed | May 3, 2026, 1:07 a.m. |
| PDg | Predicate description generation | batch_69f6a0e920cc8190a943fdd0594906c5 |
completed | May 3, 2026, 1:12 a.m. |
Created at: April 29, 2026, 9:09 p.m.