Triple
T23312488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U2: The Joshua Tree Tour 2017 |
E590620
|
entity |
| Predicate | stageDesignTheme |
P88859
|
FINISHED |
| Object | American desert imagery |
—
|
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: American desert imagery | Statement: [U2: The Joshua Tree Tour 2017, stageDesignTheme, American desert imagery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stageDesignTheme Context triple: [U2: The Joshua Tree Tour 2017, stageDesignTheme, American desert imagery]
-
A.
stageDesigner
Indicates that one entity is responsible for designing or creating the stage or set for a performance or event in relation to another entity.
-
B.
themeInspiration
Indicates that one entity serves as the creative source or conceptual basis that inspires or shapes the theme expressed in another entity.
-
C.
PoseThemes
Indicates that a particular pose expresses, embodies, or is associated with certain thematic ideas or concepts.
-
D.
themeFor
Indicates that something serves as the central subject, topic, or focus for another thing (such as an event, work, or activity).
-
E.
scenographyStyle
chosen
Indicates the stylistic approach or design aesthetic used in the staging and visual arrangement of a scene or performance.
- 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_69e25d1d32188190948eb76909d1dcc3 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1972ca70481909e2415c65964210a |
completed | April 29, 2026, 5:29 a.m. |
| PD | Predicate disambiguation | batch_69effcf8ca2c8190887d4f4656617d21 |
completed | April 28, 2026, 12:19 a.m. |
Created at: April 17, 2026, 5:06 p.m.