Triple
T16336068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mössbauer Spectrometer |
E396680
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Rudolf Mössbauer |
E311583
|
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: Rudolf Mössbauer | Statement: [Mössbauer Spectrometer, namedAfter, Rudolf Mössbauer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rudolf Mössbauer Context triple: [Mössbauer Spectrometer, namedAfter, Rudolf Mössbauer]
-
A.
Rudolf Mössbauer
chosen
Rudolf Mössbauer was a German physicist best known for discovering the Mössbauer effect, which earned him the 1961 Nobel Prize in Physics.
-
B.
Detlef Bothe
Detlef Bothe is a German actor, director, and writer known for his roles in film and television, including appearances in international productions.
-
C.
Wolfgang Paul
Wolfgang Paul was a German physicist and Nobel laureate best known for developing the Paul trap for confining charged particles.
-
D.
Helmut Weinert
Helmut Weinert is a relatively obscure individual about whom no widely known public or historical information is readily available.
-
E.
Albrecht Bethe
Albrecht Bethe was a German physiologist known for his research in neurophysiology and comparative physiology in the early 20th century.
- 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_69d87f26864c819088365ca381a003c2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2c4e3af7881908a3116c41ed69115 |
completed | April 17, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0026193a3c81909c640426ab798c1c |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:07 a.m.