Triple
T17375901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dino Toppmöller |
E422437
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Dino Toppmöller |
—
|
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: Dino Toppmöller | Statement: [Dino Toppmöller, name, Dino Toppmöller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dino Toppmöller Context triple: [Dino Toppmöller, name, Dino Toppmöller]
-
A.
Dino Toppmöller
chosen
Dino Toppmöller is a German football coach and former player known for managing top-flight clubs in the Bundesliga.
-
B.
Joachim Haspinger
Joachim Haspinger was a Capuchin priest and military leader who became a prominent figure in the Tyrolean uprising against Napoleonic and Bavarian rule in 1809.
-
C.
Karl Rammelt
Karl Rammelt was a German Luftwaffe fighter ace of World War II, credited with numerous aerial victories on the Eastern Front.
-
D.
Heiko Butscher
Heiko Butscher is a German former professional footballer who transitioned into coaching and has managed Bundesliga club VfL Bochum.
-
E.
Ralf Wengenmayr
Ralf Wengenmayr is a German film composer known for scoring a variety of feature films and international productions.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a6c864481908507290282cc6d25 |
completed | April 19, 2026, 2:14 a.m. |
Created at: April 10, 2026, 5:45 a.m.