Triple

T31628310
Position Surface form Disambiguated ID Type / Status
Subject Irgendwie, irgendwo, irgendwann E807086 entity
Predicate producer P490 FINISHED
Object Manne Praeker
Manne Praeker was a German music producer, bassist, and songwriter best known for his work in the rock and new wave scenes of the 1970s and 1980s.
E2007353 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: Manne Praeker | Statement: [Irgendwie, irgendwo, irgendwann, producer, Manne Praeker]
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: Manne Praeker
Triple: [Irgendwie, irgendwo, irgendwann, producer, Manne Praeker]
Generated description
Manne Praeker was a German music producer, bassist, and songwriter best known for his work in the rock and new wave scenes of the 1970s and 1980s.

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_69f348d7883c8190b6c13ab92b7ef076 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6a8e1d690819082e03cbaacbaa034 completed May 3, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a346656aef4819091cee51d8f7cd03e completed June 18, 2026, 9:42 p.m.
NEDg Description generation batch_6a346728bd388190a0815d78ea6bd4c1 completed June 18, 2026, 9:46 p.m.
NED2 Entity disambiguation (via description) batch_6a3467d8a7c08190a8a3abb44e404478 completed June 18, 2026, 9:49 p.m.
Created at: April 30, 2026, 10:44 p.m.