Triple
T28781964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | After Virtue |
E726699
|
entity |
| Predicate | settingOfOpening |
P31333
|
FINISHED |
| Object | hypothetical post-apocalyptic world |
—
|
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: hypothetical post-apocalyptic world | Statement: [After Virtue, settingOfOpening, hypothetical post-apocalyptic world]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingOfOpening Context triple: [After Virtue, settingOfOpening, hypothetical post-apocalyptic world]
-
A.
openingPractice
Indicates the practice or rehearsal of opening moves, procedures, or initial actions in a given context.
-
B.
openingConcept
Indicates that one concept serves as the initial or introductory element in relation to another concept, such as the first idea, section, or phase in a sequence or structure.
-
C.
openingTheme
Indicates that one entity serves as the opening theme (such as a song or musical piece) for another entity, typically a show, series, or similar work.
-
D.
openingSituation
chosen
Indicates the initial state, context, or set of conditions that exist at the beginning of an event, interaction, or narrative.
-
E.
openingThemeType
Indicates the type or category of an opening theme associated with a work or media.
- 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_69f03199997c8190b6ae43fb19312443 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f6cee45590819086e489bfccbe4ac3 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1188708190b8f0f56e595e6057 |
completed | May 3, 2026, 4:16 a.m. |
Created at: April 28, 2026, 6:20 a.m.