Triple
T13000893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eric Schneider |
E322165
|
entity |
| Predicate | playedFor |
P2170
|
FINISHED |
| Object | Adler Mannheim |
E90494
|
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: Adler Mannheim | Statement: [Eric Schneider, playedFor, Adler Mannheim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adler Mannheim Context triple: [Eric Schneider, playedFor, Adler Mannheim]
-
A.
Adler Mannheim
chosen
Adler Mannheim is a professional ice hockey team from Mannheim, Germany, known as one of the most successful and popular clubs in German ice hockey.
-
B.
Löwenthal
Löwenthal is the maiden surname of Elsa Einstein, who was both the second wife and cousin of physicist Albert Einstein.
-
C.
Julius Ochs Adler
Julius Ochs Adler was an American newspaper executive, publisher of The New York Times, and U.S. Army officer who rose to the rank of major general.
-
D.
Benedenberg
Benedenberg is a small village in the Dutch province of South Holland, located within the municipality of Krimpenerwaard.
-
E.
Biedenharn
Biedenharn is a surname most notably associated with Joseph A. Biedenharn, an early bottler of Coca-Cola and prominent American businessman.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e9828748190b2ad9ea29180b7d3 |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c103e49c8190a140527f24b5c799 |
completed | May 3, 2026, 3:29 a.m. |
Created at: April 9, 2026, 8:47 p.m.