Triple
T12528880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rut Brandt |
E299507
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Matthias Brandt |
E364894
|
NE 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: Matthias Brandt | Statement: [Rut Brandt, relative, Matthias Brandt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matthias Brandt Context triple: [Rut Brandt, relative, Matthias Brandt]
-
A.
Matthias Brandt
chosen
Matthias Brandt is a German actor and the son of former German chancellor Willy Brandt.
-
B.
Matthias Butz
Matthias Butz is an individual notable enough to be specifically cited as a bearer of the surname Butz.
-
C.
Christian Brandauer
Christian Brandauer is the son of Austrian actor and director Klaus Maria Brandauer.
-
D.
Matthias Koenigswieser
Matthias Koenigswieser is a cinematographer known for his work on feature films such as the live-action Disney movie "Christopher Robin."
-
E.
Matthias Zell
Matthias Zell was a leading early Protestant reformer and preacher in Strasbourg who played a central role in introducing and spreading Reformation ideas in the city.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9545e90948190980bd4d64964a0f2 |
completed | April 10, 2026, 7:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c0d6947c819080d33199d331724c |
completed | May 3, 2026, 3:28 a.m. |
Created at: April 8, 2026, 9:57 p.m.