Triple

T25690622
Position Surface form Disambiguated ID Type / Status
Subject Verena Rehm E644190 entity
Predicate notableSongAsVocalist P55748 FINISHED
Object 7 Years and 50 Days
"7 Years and 50 Days" is a Eurodance track by the German group Groove Coverage, known for its catchy melody and featuring vocals by Verena Rehm.
 E1690183 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: 7 Years and 50 Days | Statement: [Verena Rehm, notableSongAsVocalist, 7 Years and 50 Days]
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: 7 Years and 50 Days
Triple: [Verena Rehm, notableSongAsVocalist, 7 Years and 50 Days]
Generated description
"7 Years and 50 Days" is a Eurodance track by the German group Groove Coverage, known for its catchy melody and featuring vocals by Verena Rehm.

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_69e77e8046888190b07ffa58c7e2c37a completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69fd5c9b78748190970d803a3ac9017c completed May 8, 2026, 3:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10c165feb48190830563968b5b0761 completed May 22, 2026, 8:49 p.m.
NEDg Description generation batch_6a10c1db351c819082d9d7ff8c9f130b completed May 22, 2026, 8:51 p.m.
NED2 Entity disambiguation (via description) batch_6a10c2897e348190b1fa494f5891d742 completed May 22, 2026, 8:54 p.m.
Created at: April 21, 2026, 8:17 p.m.