Triple

T29962952
Position Surface form Disambiguated ID Type / Status
Subject Culture Beat E761099 entity
Predicate memberOf P10 FINISHED
Object Frank Bülow
Frank Bülow is a musician best known as a member of the German Eurodance group Culture Beat.
E1911415 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: Frank Bülow | Statement: [Culture Beat, memberOf, Frank Bülow]
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: Frank Bülow
Triple: [Culture Beat, memberOf, Frank Bülow]
Generated description
Frank Bülow is a musician best known as a member of the German Eurodance group Culture Beat.

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_69f22466327481908ba6db916837bece completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f67866e9248190b7ba218f9ca2ae8d completed May 2, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a277bf768408190a246d25aba99b50c completed June 9, 2026, 2:35 a.m.
NEDg Description generation batch_6a277fd1e6ec81909b7d515f710eff08 completed June 9, 2026, 2:52 a.m.
NED2 Entity disambiguation (via description) batch_6a27801930a08190aa9db1ac2ee363f4 completed June 9, 2026, 2:53 a.m.
Created at: April 29, 2026, 6:29 p.m.