Triple
T23594100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silent Night |
E582565
|
entity |
| Predicate | hasFirstLineGerman |
P6492
|
FINISHED |
| Object | Stille Nacht, heilige Nacht |
—
|
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: Stille Nacht, heilige Nacht | Statement: [Silent Night, hasFirstLineGerman, Stille Nacht, heilige Nacht]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFirstLineGerman Context triple: [Silent Night, hasFirstLineGerman, Stille Nacht, heilige Nacht]
-
A.
hasTitleInGerman
chosen
Indicates that an entity has a specific title or name expressed in the German language.
-
B.
firstHolderNameInGerman
Indicates that the relationship specifies the name of the first holder expressed in the German language.
-
C.
hasLatinIncipit
Indicates that an entity begins with, or is identified by, a specified Latin opening phrase (incipit).
-
D.
hasEnglishIncipit
Indicates that an entity has an opening phrase or initial text (incipit) expressed in English.
-
E.
firstLineTranslation
Indicates that one text is a translation of the first line of another text.
- 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_69e248f9e0a08190814772847003b1ff |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b08d63dc81908c092a87cf61f2b9 |
completed | April 29, 2026, 7:17 a.m. |
| PD | Predicate disambiguation | batch_69f118c96a0081908a8ac98ef7e7e60c |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:42 p.m.