Triple
T21996236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kreis Jüterbog |
E543212
|
entity |
| Predicate | historicalRegion |
P915
|
FINISHED |
| Object | Mark Brandenburg |
—
|
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: Mark Brandenburg | Statement: [Kreis Jüterbog, historicalRegion, Mark Brandenburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Brandenburg Context triple: [Kreis Jüterbog, historicalRegion, Mark Brandenburg]
-
A.
Mark Brandenburg
chosen
Mark Brandenburg is a historic region in northeastern Germany that formed the core of the medieval Margraviate of Brandenburg and later became central to the rise of Prussia.
-
B.
Michael Brandman
Michael Brandman is an American film and television producer and writer known for adapting and producing literary and theatrical works.
-
C.
Jonathan Brandmeier
Jonathan Brandmeier is an American radio host and comedian best known for his long-running, high-energy morning shows on Chicago rock stations.
-
D.
Robert Brandt
Robert Brandt was the husband of American actress Janet Leigh, known primarily for his marriage to the famed Hollywood star.
-
E.
Robert Brandt
Robert Brandt is a film producer known for his work on the movie "Dead Ringer."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e2c814c8190837d072789000486 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1276493bc81908567445e901bc3a7 |
completed | April 28, 2026, 9:32 p.m. |
Created at: April 16, 2026, 8:19 p.m.