Triple
T36239367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Die Aufnahme |
E891473
|
entity |
| Predicate | titleTranslation (English) |
P58041
|
FINISHED |
| Object | The Recording |
—
|
NE NERFINISHED |
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: The Recording | Statement: [Die Aufnahme, titleTranslation (English), The Recording]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleTranslation (English) Context triple: [Die Aufnahme, titleTranslation (English), The Recording]
-
A.
translationTitle
chosen
Indicates that one entity is the title assigned to a translated version of another entity (such as a work, document, or text).
-
B.
titleInLanguage
Indicates that a specific title or name is expressed in a particular language.
-
C.
commonTitleLanguage
Indicates that two entities share the same language in which their titles are expressed.
-
D.
titleInEnglish
Indicates that an entity’s title or name is given in the English language.
-
E.
translatedIn
Indicates that a work, text, or content has been rendered from its original language into another specified language or linguistic form.
- 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_69f76e44993481908fa75e4c48d0aab3 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ffac35ac5481908b6bdfd5bbe8c76e |
completed | May 9, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69ffabbfd2548190964c851496bbbaee |
completed | May 9, 2026, 9:48 p.m. |
Created at: May 3, 2026, 4:09 p.m.