Triple
T27949823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Folklore era |
E703390
|
entity |
| Predicate | associatedWithVisualStyle |
P61564
|
FINISHED |
| Object | black-and-white photography |
—
|
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: black-and-white photography | Statement: [Folklore era, associatedWithVisualStyle, black-and-white photography]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithVisualStyle Context triple: [Folklore era, associatedWithVisualStyle, black-and-white photography]
-
A.
associatedAesthetic
Indicates a relationship where one entity is linked to or characterized by a particular aesthetic style, quality, or visual/theme-based sensibility.
-
B.
associatedWithMode
Indicates a relationship in which something is linked or connected to a particular mode, method, or manner of operation or behavior.
-
C.
associatedWithBodyStyles
Indicates a relationship where something (such as a product, model, or item) is linked or connected to one or more specific body styles.
-
D.
typicalVisualStyle
chosen
Indicates the characteristic or commonly observed visual appearance or aesthetic style associated with an entity.
-
E.
associatedWithDesign
Indicates that there is a connection or involvement between an entity and a particular design, design process, or design-related activity.
- 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_69ef840c8b2c8190946ae9522774ba51 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_6a008ebb22408190a2293bced40a7e53 |
completed | May 10, 2026, 1:57 p.m. |
| PD | Predicate disambiguation | batch_6a008e8715dc8190ab23292605901bf4 |
completed | May 10, 2026, 1:56 p.m. |
Created at: April 27, 2026, 7:24 p.m.