Triple
T9391450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dangerous World Tour |
E226033
|
entity |
| Predicate | hasStageIllusion |
P88680
|
FINISHED |
| Object | toaster-style stage entrance |
—
|
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: toaster-style stage entrance | Statement: [Dangerous World Tour, hasStageIllusion, toaster-style stage entrance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStageIllusion Context triple: [Dangerous World Tour, hasStageIllusion, toaster-style stage entrance]
-
A.
hasStageAppearance
Indicates that an entity makes or has made a performance or appearance on a stage, typically before an audience.
-
B.
usesStage
Indicates that one entity employs or operates on another entity at a particular phase or stage within a process or workflow.
-
C.
hasStageRole
Indicates that an entity performs or holds a specific role or character in a staged performance or theatrical production.
-
D.
hasStageDoor
Indicates that a venue or building possesses a dedicated stage door used for performers and staff to access backstage areas.
-
E.
isMainStageOf
Indicates that one entity serves as the primary or central stage or platform on which the other entity occurs, is presented, or is featured.
- 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_69ca842f7e3481908bf5bcf52e032dbd |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd510eae0c8190b7c4ab487a366bb3 |
completed | April 1, 2026, 5:08 p.m. |
| PD | Predicate disambiguation | batch_69cca545b2448190a4297312e39c21ac |
completed | April 1, 2026, 4:55 a.m. |
| PDg | Predicate description generation | batch_69cca89b3368819087a3d69270c1f185 |
completed | April 1, 2026, 5:09 a.m. |
Created at: March 30, 2026, 7:45 p.m.