Triple
T1646918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Golden Stairs |
E35601
|
entity |
| Predicate | creatorStyle |
P1851
|
FINISHED |
| Object | highly finished, decorative surface |
—
|
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: highly finished, decorative surface | Statement: [The Golden Stairs, creatorStyle, highly finished, decorative surface]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: creatorStyle Context triple: [The Golden Stairs, creatorStyle, highly finished, decorative surface]
-
A.
authorStyle
Indicates the stylistic characteristics or manner of expression associated with a particular author in their works.
-
B.
creatorType
Indicates the role or category of a creator in relation to the creation of something (e.g., author, artist, director).
-
C.
artisticStyle
chosen
Indicates the artistic movement, style, or aesthetic approach that characterizes how something is created or visually expressed.
-
D.
creatorField
Indicates that one entity is recorded as the creator or originator of another entity within a specific field or context.
-
E.
creatorOccupation
Indicates the professional role or job that the creator of an entity holds or held.
- 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_69a8860568888190a32cd9f70acbba42 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaa0fbe984819084f8daee81ca9b67 |
completed | March 6, 2026, 9:40 a.m. |
| PD | Predicate disambiguation | batch_69a907ce4dd881909168a1e99505d4ec |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:28 p.m.