Triple
T14715073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bishop of Magdeburg |
E345655
|
entity |
| Predicate | titleHolder |
P1911
|
FINISHED |
| Object | Gerhard Feige |
—
|
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: Gerhard Feige | Statement: [Bishop of Magdeburg, titleHolder, Gerhard Feige]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gerhard Feige Context triple: [Bishop of Magdeburg, titleHolder, Gerhard Feige]
-
A.
Gerhard Feige
chosen
Gerhard Feige is a German Roman Catholic prelate and theologian who serves as the bishop of Magdeburg.
-
B.
Eckhard Pfeiffer
Eckhard Pfeiffer is a German-American businessman best known for serving as CEO of Compaq Computer Corporation during its rapid expansion in the 1990s.
-
C.
Gerhard Kremer
Gerhard Kremer, better known by his Latinized name Gerardus Mercator, was a 16th-century Flemish cartographer renowned for creating the Mercator projection, a revolutionary world map used for navigation.
-
D.
Lothar Sieber
Lothar Sieber was a German test pilot best known for making the first manned vertical rocket-powered flight, which ended fatally, during World War II experimental aircraft testing.
-
E.
Jürgen Doering
Jürgen Doering is a costume designer known for his work on films such as "Personal Shopper."
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb98513b081908b230f6ac79c72ad |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 1:29 a.m.