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.