Triple
T15448880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Germany national basketball team |
E370095
|
entity |
| Predicate | captain |
P884
|
FINISHED |
| Object | Dennis Schröder |
E218910
|
NE FINISHED |
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: Dennis Schröder | Statement: [Germany national basketball team, captain, Dennis Schröder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dennis Schröder Context triple: [Germany national basketball team, captain, Dennis Schröder]
-
A.
Dennis Schröder
chosen
Dennis Schröder is a German professional basketball point guard known for his speed, playmaking, and long NBA career with multiple teams as well as leading Germany’s national team.
-
B.
Cristian Ionescu
Cristian Ionescu is a Romanian academic and writer known for his contributions to philosophy and cultural studies.
-
C.
T. J. Warren
T. J. Warren is an American professional basketball player known for his scoring ability as a forward in the NBA.
-
D.
Dejounte Murray
Dejounte Murray is an NBA guard known for his two-way playmaking, rebounding, and defense, who has been an All-Star and a key backcourt partner in Atlanta.
-
E.
Grant Williams
Grant Williams was an American film and television actor best known for his roles in 1950s and 1960s Hollywood productions, including notable science fiction and drama films.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ef9334c81908541e231b43eb012 |
completed | April 16, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2cf9eae881909b5dc74c55a04ff0 |
completed | May 9, 2026, 12:47 p.m. |
Created at: April 10, 2026, 3:21 a.m.