Triple
T2395145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rolf Frick |
E47631
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Rolf Frick |
E47631
|
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: Rolf Frick | Statement: [Rolf Frick, name, Rolf Frick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rolf Frick Context triple: [Rolf Frick, name, Rolf Frick]
-
A.
Rolf Frick
chosen
Rolf Frick is an individual notable enough to be recognized as a prominent bearer of the surname Frick.
-
B.
Sepp Klotz
Sepp Klotz was a mountaineer known for being among the first climbers to successfully ascend Austria’s highest peak, the Grossglockner.
-
C.
Karl Frick
Karl Frick is a notable individual who bears the surname Frick, recognized enough to be specifically cited as an example of this family name.
-
D.
Tom Nissalke
Tom Nissalke was an American professional basketball coach best known for his work in the ABA and NBA during the 1970s and 1980s.
-
E.
Heinz Emigholz
Heinz Emigholz is a German filmmaker and artist best known for his experimental films and architectural documentaries.
- 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_69a88a1c450c81909f61abb8b6863885 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc879b1b88190be8d0337d9a17bd0 |
completed | March 7, 2026, 6:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aeb3dc44dc819099b8914b878c5638 |
completed | March 9, 2026, 11:49 a.m. |
Created at: March 4, 2026, 7:57 p.m.