Triple
T4954755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1971–72 ABA season |
E111253
|
entity |
| Predicate | coachOfTheYear |
P7573
|
FINISHED |
| Object | Tom Nissalke |
E130212
|
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: Tom Nissalke | Statement: [1971–72 ABA season, coachOfTheYear, Tom Nissalke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Nissalke Context triple: [1971–72 ABA season, coachOfTheYear, Tom Nissalke]
-
A.
Tom Nissalke
chosen
Tom Nissalke was an American professional basketball coach best known for his work in the ABA and NBA during the 1970s and 1980s.
-
B.
Jürgen Ovens
Jürgen Ovens was a 17th-century German-Danish Baroque painter known for his portraits and history paintings, active primarily in Schleswig and the Netherlands.
-
C.
Uli Meyer
Uli Meyer is a German-born animator and illustrator known for his character design and animation work in film and advertising.
-
D.
Dennis Weilmann
Dennis Weilmann is a German politician who serves as the mayor of the city of Wolfsburg.
-
E.
Volker Braun
Volker Braun is a German writer and poet known for his politically engaged works that critically examine life in East Germany and the legacy of socialism.
- 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_69bd4418390c8190b7e9766a2512ce55 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd71b945c0819082723712905f8295 |
completed | March 20, 2026, 4:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be81da92b48190ab41ad8f7a891544 |
completed | March 21, 2026, 11:32 a.m. |
Created at: March 20, 2026, 1:32 p.m.