Triple
T26415260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California Dreams Tour |
E664066
|
entity |
| Predicate | hasSetDesignElement |
P46313
|
FINISHED |
| Object | giant candy props |
—
|
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: giant candy props | Statement: [California Dreams Tour, hasSetDesignElement, giant candy props]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSetDesignElement Context triple: [California Dreams Tour, hasSetDesignElement, giant candy props]
-
A.
hasStageDesignElement
chosen
Indicates a relationship in which a stage production, performance, or set includes or is associated with a particular stage design element (such as props, scenery, lighting, or other visual components).
-
B.
hasDesignProperty
Indicates that an entity possesses a specific design-related characteristic, feature, or attribute.
-
C.
usesSetDesignFrom
Indicates that one production or work employs the same set design that was originally created for another production or work.
-
D.
hasDesignOption
Indicates that an entity is associated with or offers a particular design alternative or configurable design choice.
-
E.
hasDesignContext
Indicates that something is associated with, or defined within, a particular design context or design environment.
- 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_69ee883a04ec81908883c4559f8c7e24 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f7688dd3d08190ad13d0e780570a1c |
completed | May 3, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69f767fcf2f881908bacc7bfc38e68a5 |
completed | May 3, 2026, 3:21 p.m. |
Created at: April 26, 2026, 11:40 p.m.