Triple
T24208017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dynasty Tour |
E600451
|
entity |
| Predicate | hasPrimaryVisualTheme |
P62774
|
FINISHED |
| Object | comic book-style rock spectacle |
—
|
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: comic book-style rock spectacle | Statement: [Dynasty Tour, hasPrimaryVisualTheme, comic book-style rock spectacle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryVisualTheme Context triple: [Dynasty Tour, hasPrimaryVisualTheme, comic book-style rock spectacle]
-
A.
hasMaterialTheme
Indicates that something conceptually centers on, concerns, or thematically involves a particular material or substance.
-
B.
hasPrimarySurface
Indicates that one entity serves as the main or principal surface associated with another entity.
-
C.
hasPrimaryFeature
Indicates that an entity possesses a main or most characteristic feature that defines or distinguishes it.
-
D.
hasThemeType
chosen
Indicates that something is associated with or characterized by a particular thematic category or type.
-
E.
primaryAltModeTheme
Indicates that one mode of an entity is designated as the main or preferred alternative mode within a set of possible modes.
- 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_69e2953344c48190875730c7d52112a0 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f27ca7db848190952001ab2149ce62 |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c43e55688190b55fc20274ed471c |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:50 p.m.