Triple

T30887579
Position Surface form Disambiguated ID Type / Status
Subject Moritz Moszkowski E786807 entity
Predicate studentOf P48 FINISHED
Object Richard Wüerst
Richard Wüerst was a 19th-century German composer and music educator known for teaching notable musicians such as Moritz Moszkowski.
 E2291788 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: Richard Wüerst | Statement: [Moritz Moszkowski, studentOf, Richard Wüerst]
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: Richard Wüerst
Triple: [Moritz Moszkowski, studentOf, Richard Wüerst]
Generated description
Richard Wüerst was a 19th-century German composer and music educator known for teaching notable musicians such as Moritz Moszkowski.

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_69f224bbfa7c81908448e0c261c523e3 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f692071d00819083948e17acfe2644 completed May 3, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a5c8d2b4538819081d03db7d89958dc completed July 19, 2026, 8:39 a.m.
NEDg Description generation batch_6a5c8f31ca60819093c3fac7b19c246c completed July 19, 2026, 8:47 a.m.
NED2 Entity disambiguation (via description) batch_6a5c9027edd881909ac6aeaa2c47000d completed July 19, 2026, 8:51 a.m.
Created at: April 29, 2026, 8:49 p.m.