Triple

T32774205
Position Surface form Disambiguated ID Type / Status
Subject Des Knaben Wunderhorn E838148 entity
Predicate titleTranslation P38 FINISHED
Object The Boy’s Magic Horn
The Boy’s Magic Horn is an English title for the influential early 19th-century German collection of folk poems and songs compiled by Achim von Arnim and Clemens Brentano.
 E2021634 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: The Boy’s Magic Horn | Statement: [Des Knaben Wunderhorn, titleTranslation, The Boy’s Magic Horn]
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: The Boy’s Magic Horn
Triple: [Des Knaben Wunderhorn, titleTranslation, The Boy’s Magic Horn]
Generated description
The Boy’s Magic Horn is an English title for the influential early 19th-century German collection of folk poems and songs compiled by Achim von Arnim and Clemens Brentano.

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_69f3493a824c8190938489ba69041d08 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6cd1f75bc8190ae91bf0406087153 completed May 3, 2026, 4:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34a7cc9e5c8190939f41353477c33c completed June 19, 2026, 2:22 a.m.
NEDg Description generation batch_6a34a8fb2e0081908cdac2a172ea5c32 completed June 19, 2026, 2:27 a.m.
NED2 Entity disambiguation (via description) batch_6a34a9cef0248190bf3bef6627945496 completed June 19, 2026, 2:30 a.m.
Created at: May 1, 2026, 1:13 a.m.