Triple
T22720457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scholl |
E561844
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Andreas Scholl |
—
|
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: Andreas Scholl | Statement: [Scholl, hasNotableBearer, Andreas Scholl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andreas Scholl Context triple: [Scholl, hasNotableBearer, Andreas Scholl]
-
A.
Andreas Scholl
chosen
Andreas Scholl is a renowned German countertenor celebrated for his interpretations of Baroque and early music.
-
B.
Matthias Schweighöfer
Matthias Schweighöfer is a German actor, director, and producer known for his work in both domestic cinema and international projects such as the film "Army of Thieves."
-
C.
Andreas Bovenschulte
Andreas Bovenschulte is a German politician who serves as the President of the Senate and Mayor of the federal state of Bremen.
-
D.
Christian Hebel
Christian Hebel is an American violinist and concertmaster known for his work on Broadway productions, film scores, and live performances with prominent recording artists.
-
E.
Martin Reinfried
Martin Reinfried is an entrepreneur best known as a founder of the early internet search and web portal company Excite.
- 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_69e2454fc984819088213b58ee87a002 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f17910deb48190b38174e16868f3dd |
completed | April 29, 2026, 3:20 a.m. |
Created at: April 17, 2026, 3:19 p.m.