Triple
T1027766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fox Theatre (Atlanta) |
E22178
|
entity |
| Predicate | interiorTheme |
P5509
|
FINISHED |
| Object | Arabian Nights fantasy |
—
|
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: Arabian Nights fantasy | Statement: [Fox Theatre (Atlanta), interiorTheme, Arabian Nights fantasy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: interiorTheme Context triple: [Fox Theatre (Atlanta), interiorTheme, Arabian Nights fantasy]
-
A.
interiorStyle
chosen
Indicates that one entity has a particular interior design style or aesthetic characterized by the other entity.
-
B.
furnishingType
Indicates the type or category of furnishings associated with an entity, such as a property or room.
-
C.
chamberColorDesignation
Indicates the specified color assigned to a particular chamber or compartment as its designated identifying color.
-
D.
buildingChamberColor
Indicates the color relationship between a building and one of its chambers or interior spaces.
-
E.
themeExamples
Indicates that the related entity serves as an example or illustration of the theme expressed by the subject.
- 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_69a493d6e380819097b384986ffc315c |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b95d35888190a20593a278175df7 |
completed | March 1, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69a4b7276180819085c6b23501a6a6e0 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:41 p.m.