Triple
T6582429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murnau – Street with Women |
E157328
|
entity |
| Predicate | composition feature |
P52407
|
FINISHED |
| Object | street receding into depth |
—
|
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: street receding into depth | Statement: [Murnau – Street with Women, composition feature, street receding into depth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: composition feature Context triple: [Murnau – Street with Women, composition feature, street receding into depth]
-
A.
compositionalFeature
chosen
Indicates that one entity is a structural or constituent feature that forms part of the composition or makeup of another entity.
-
B.
featuredComposition
Indicates that one entity is highlighted or prominently presented as a notable composition in relation to another entity (such as a collection, event, or creator).
-
C.
compositionForm
Indicates the structural or organizational form in which something is composed or arranged.
-
D.
compositionDetail
Indicates that one entity specifies or describes the internal makeup, structure, or constituent elements of another entity.
-
E.
specialComposition
Indicates that one entity is composed of another in a distinctive or non-standard way, highlighting a particular or exceptional form of composition between them.
- 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_69c6882b3a108190b3a9eb343ae4162c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6c07cdf048190945ca5810fb1de88 |
completed | March 27, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c6acfb462481909cb7aff5af4bca9d |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:54 p.m.