Triple
T34981363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul (Die tote Stadt) |
E1008822
|
entity |
| Predicate | perceivesAs |
P93383
|
FINISHED |
| Object | double of Marie |
—
|
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: double of Marie | Statement: [Paul (Die tote Stadt), perceivesAs, double of Marie]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: perceivesAs Context triple: [Paul (Die tote Stadt), perceivesAs, double of Marie]
-
A.
culturallyPerceivedAs
Indicates that one entity is regarded or interpreted in a particular way by a culture or cultural group.
-
B.
perceivedAsByCharacters
chosen
Indicates how something is viewed, interpreted, or understood by one or more characters.
-
C.
intendedPerception
Indicates that one entity is meant or designed to be perceived (e.g., seen, heard, or otherwise sensed) by another entity.
-
D.
perceivedCharacter
Indicates how one entity subjectively views or interprets the traits, qualities, or persona of another entity.
-
E.
perceivedRole
Indicates the role or function that one entity is regarded or interpreted as having in relation to another, based on perception rather than objective status.
- 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_69f76dc844a48190881951fffb83d17e |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78710282c81909146dc0be91e983f |
completed | May 3, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69f784162134819098413482ef52042f |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 3, 2026, 4:01 p.m.