Triple
T37529770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | town of Redemption |
E932999
|
entity |
| Predicate | visualStyleInWork |
P61564
|
FINISHED |
| Object | stylized Western town |
—
|
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: stylized Western town | Statement: [town of Redemption, visualStyleInWork, stylized Western town]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visualStyleInWork Context triple: [town of Redemption, visualStyleInWork, stylized Western town]
-
A.
hasWorkStyle
Indicates the type or manner in which an entity typically performs work or carries out tasks.
-
B.
visualWorkFor
Indicates a relationship where one entity creates, designs, or produces visual material (such as graphics, images, or visual assets) specifically for another entity or purpose.
-
C.
visibilityInWork
Indicates the degree to which something is observable, noticeable, or prominent within a work context or during the performance of work.
-
D.
color work
Indicates that an entity applies or adds color to another entity, typically as part of a creative or finishing process.
-
E.
typicalVisualStyle
chosen
Indicates the characteristic or commonly observed visual appearance or aesthetic style associated with an entity.
- 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_69f76ec8862c8190bfa24145f5480642 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbb084760c8190a1554985d3c3cb7a |
completed | May 6, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_69fbadf3cb548190ba3b7514f76b790a |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:17 p.m.