Triple
T19790309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Maffay |
E475391
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Peter Maffay |
—
|
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: Peter Maffay | Statement: [Peter Maffay, name, Peter Maffay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Maffay Context triple: [Peter Maffay, name, Peter Maffay]
-
A.
Peter Maffay
chosen
Peter Maffay is a German rock musician and singer-songwriter known for his long-running career, chart-topping albums, and the popular "Tabaluga" rock fairy tale project.
-
B.
Herbert Grönemeyer
Herbert Grönemeyer is a renowned German singer, songwriter, and actor, widely recognized as one of Germany’s most successful recording artists.
-
C.
Sven Väth
Sven Väth is a pioneering German DJ, producer, and label owner widely regarded as one of the key figures in the development of techno and electronic dance music.
-
D.
Limahl
Limahl is an English pop singer best known as the former lead vocalist of Kajagoogoo and for his successful solo work in the 1980s.
-
E.
Frank Schneider
Frank Schneider is a German local politician who serves as the mayor of the town of Langenfeld (Rheinland) in North Rhine-Westphalia.
- 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653c217bc819092c517b27ca22087 |
completed | April 20, 2026, 4:26 p.m. |
Created at: April 10, 2026, 1:49 p.m.