Triple
T17052554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Bull |
E413734
|
entity |
| Predicate | oftenContrastedWith |
P11289
|
FINISHED |
| Object |
German Michel
German Michel is a national personification of the German people, typically depicted as a naive yet good-natured German everyman and often contrasted with the British figure John Bull.
|
E1248486
|
NE FINISHED |
How this triple was built (4 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: German Michel | Statement: [John Bull, oftenContrastedWith, German Michel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: German Michel Context triple: [John Bull, oftenContrastedWith, German Michel]
-
A.
German Kid
"German Kid" is a track from the album "Standing in the Spotlight," likely reflecting the record’s punk-influenced, offbeat musical style and themes.
-
B.
Moritz
Moritz is a masculine given name of German origin, commonly used in German-speaking countries.
-
C.
Gerhard
Gerhard is a masculine given name of German origin, historically common in German-speaking countries.
-
D.
Helmut
Helmut is a masculine given name of German origin, historically common in German-speaking countries.
-
E.
Franz
Franz is a German-language surname of Central European origin borne by various notable individuals.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: German Michel Triple: [John Bull, oftenContrastedWith, German Michel]
Generated description
German Michel is a national personification of the German people, typically depicted as a naive yet good-natured German everyman and often contrasted with the British figure John Bull.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: German Michel Target entity description: German Michel is a national personification of the German people, typically depicted as a naive yet good-natured German everyman and often contrasted with the British figure John Bull.
-
A.
German Kid
"German Kid" is a track from the album "Standing in the Spotlight," likely reflecting the record’s punk-influenced, offbeat musical style and themes.
-
B.
Moritz
Moritz is a masculine given name of German origin, commonly used in German-speaking countries.
-
C.
Gerhard
Gerhard is a masculine given name of German origin, historically common in German-speaking countries.
-
D.
Helmut
Helmut is a masculine given name of German origin, historically common in German-speaking countries.
-
E.
Franz
Franz is a German-language surname of Central European origin borne by various notable individuals.
- F. None of above. chosen
Provenance (5 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3daa3324881908d9e445ba1cfe109 |
completed | April 18, 2026, 7:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012343eca0819086a07511c5d22878 |
completed | May 11, 2026, 12:31 a.m. |
| NEDg | Description generation | batch_6a012585a1548190a112f55e2d84ccac |
completed | May 11, 2026, 12:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0126536c348190b9b2eadb4969f8c2 |
completed | May 11, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5:34 a.m.