Triple
T11864246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schöne Zeiten |
E282241
|
entity |
| Predicate | creatorRoleOfCompiler |
P13180
|
FINISHED |
| Object | SS officer |
—
|
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: SS officer | Statement: [Schöne Zeiten, creatorRoleOfCompiler, SS officer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: creatorRoleOfCompiler Context triple: [Schöne Zeiten, creatorRoleOfCompiler, SS officer]
-
A.
creatorType
chosen
Indicates the role or category of a creator in relation to the creation of something (e.g., author, artist, director).
-
B.
creatorOccupation
Indicates the professional role or job that the creator of an entity holds or held.
-
C.
producerRole
Indicates that an entity serves in the role of producer for another entity, such as a work, product, or event.
-
D.
creatorLanguage
Indicates the language in which the creator produced or expressed the related work or content.
-
E.
compilerBirthName
Indicates the birth name originally given to the compiler (person) before any later name changes or aliases.
- 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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a73883508190a78b5f4ba4a220df |
completed | April 10, 2026, 7:31 a.m. |
| PD | Predicate disambiguation | batch_69d8a2573dbc8190ab432e8e28fde6cc |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:43 p.m.