Triple
T767388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilhelm Röntgen |
E16205
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Röntgen |
E16205
|
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: Röntgen | Statement: [Wilhelm Röntgen, familyName, Röntgen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Röntgen Context triple: [Wilhelm Röntgen, familyName, Röntgen]
-
A.
Wilhelm Röntgen
chosen
Wilhelm Röntgen was a German physicist best known for discovering X-rays, a breakthrough that earned him the first-ever Nobel Prize in Physics in 1901.
-
B.
Ehrlich
Ehrlich is a German-origin surname borne by numerous notable individuals across fields such as science, medicine, and the arts.
-
C.
Alexanderson
Alexanderson is a Swedish-origin surname most notably associated with engineer Ernst Alexanderson, a pioneer in early radio and television technology.
-
D.
The Edison
The Edison is an industrial gothic-style restaurant and bar at Disney Springs known for its 1920s theming, craft cocktails, and live entertainment.
-
E.
Edison
Edison is a large, diverse township in central New Jersey known for its suburban communities, major transportation links, and historical association with inventor Thomas Edison.
- 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_69a49369a0848190af883934cee3db4c |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a6a0fee08190bf365d14c007e008 |
completed | March 1, 2026, 8:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a666760a4c8190afd00dbfc263be28 |
completed | March 3, 2026, 4:41 a.m. |
Created at: March 1, 2026, 7:37 p.m.