Triple
T13107358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Felix Jaehn |
E310878
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Jähn
Jähn is a German surname most notably borne by Felix Jaehn, a popular DJ and music producer known for his work in electronic and tropical house music.
|
E1023425
|
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: Jähn | Statement: [Felix Jaehn, familyName, Jähn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jähn Context triple: [Felix Jaehn, familyName, Jähn]
-
A.
Jauer
Jauer is a variety of the Romansh language spoken in parts of the Engadine valley in Switzerland, closely related to the Puter dialect.
-
B.
Jahanka
Jahanka is a Mande language spoken primarily by the Jahanka people of West Africa, particularly in Guinea and neighboring countries.
-
C.
Joure
Joure is a town in the Dutch province of Friesland known for its historic role in the coffee and clock-making industries and its location amid canals and lakes.
-
D.
Jungmann
Jungmann is the nickname of the Bücker Bü 131, a German 1930s biplane widely used as a primary trainer aircraft before and during World War II.
-
E.
Mitwitz
Mitwitz is a small market town in northern Bavaria, Germany, known for its historic moated castle and scenic location in the Franconian Forest region.
- 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: Jähn Triple: [Felix Jaehn, familyName, Jähn]
Generated description
Jähn is a German surname most notably borne by Felix Jaehn, a popular DJ and music producer known for his work in electronic and tropical house music.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jähn Target entity description: Jähn is a German surname most notably borne by Felix Jaehn, a popular DJ and music producer known for his work in electronic and tropical house music.
-
A.
Jauer
Jauer is a variety of the Romansh language spoken in parts of the Engadine valley in Switzerland, closely related to the Puter dialect.
-
B.
Jahanka
Jahanka is a Mande language spoken primarily by the Jahanka people of West Africa, particularly in Guinea and neighboring countries.
-
C.
Joure
Joure is a town in the Dutch province of Friesland known for its historic role in the coffee and clock-making industries and its location amid canals and lakes.
-
D.
Jungmann
Jungmann is the nickname of the Bücker Bü 131, a German 1930s biplane widely used as a primary trainer aircraft before and during World War II.
-
E.
Mitwitz
Mitwitz is a small market town in northern Bavaria, Germany, known for its historic moated castle and scenic location in the Franconian Forest region.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9817ce07881909ec552bf861ac175 |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e27a325c8190a5c0f1a582340078 |
completed | May 3, 2026, 5:51 a.m. |
| NEDg | Description generation | batch_69f6e6a8b15081908d80cd63b0c423f6 |
completed | May 3, 2026, 6:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6e7490cc48190b596338cd3a0fd22 |
completed | May 3, 2026, 6:12 a.m. |
Created at: April 9, 2026, 9:05 p.m.