Triple

T32204105
Position Surface form Disambiguated ID Type / Status
Subject Amalia Beer E822623 entity
Predicate notableWork P4 FINISHED
Object Berlin literary and musical salon
The Berlin literary and musical salon was a prominent early 19th-century cultural gathering place that brought together leading writers, musicians, and intellectuals in the Prussian capital for artistic and intellectual exchange.
 E1997015 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: Berlin literary and musical salon | Statement: [Amalia Beer, notableWork, Berlin literary and musical salon]
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: Berlin literary and musical salon
Triple: [Amalia Beer, notableWork, Berlin literary and musical salon]
Generated description
The Berlin literary and musical salon was a prominent early 19th-century cultural gathering place that brought together leading writers, musicians, and intellectuals in the Prussian capital for artistic and intellectual exchange.

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_69f349093174819086e633c190a51aa8 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6bb3e928c819095aafcac5970e923 completed May 3, 2026, 3:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2f3b934c108190ae4118be13ac79f9 completed June 14, 2026, 11:38 p.m.
NEDg Description generation batch_6a2f3c207d988190835c5bda034bbc6c completed June 14, 2026, 11:41 p.m.
NED2 Entity disambiguation (via description) batch_6a2f3ef33fc08190bdedc81c93429535 completed June 14, 2026, 11:53 p.m.
Created at: May 1, 2026, 12:36 a.m.