Triple
T37922644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | O welche Lust, in freier Luft |
E946005
|
entity |
| Predicate | fromScene |
P110949
|
FINISHED |
| Object | Prison courtyard scene |
—
|
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: Prison courtyard scene | Statement: [O welche Lust, in freier Luft, fromScene, Prison courtyard scene]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fromScene Context triple: [O welche Lust, in freier Luft, fromScene, Prison courtyard scene]
-
A.
originatedScene
Indicates that one entity is the original source or starting point scene from which another scene, event, or representation is derived.
-
B.
featuresSceneFrom
chosen
Indicates that one entity (such as a work or media item) includes or presents a particular scene taken from another entity.
-
C.
partOfScene
Indicates that one entity functions as a component or element within a larger scene or setting involving another entity.
-
D.
showsScene
Indicates that one entity (such as a media item or visual representation) depicts or presents a particular scene.
-
E.
sharedSceneWith
Indicates that two entities appear together within the same scene or setting.
- 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_69f76ef2ebd88190be5229f2621070b3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc7b78f9481909f4f8fc2e3fdcde1 |
completed | May 6, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69fbbd18c9908190928d274f8731dfa8 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:20 p.m.