Triple

T26793670
Position Surface form Disambiguated ID Type / Status
Subject Ernst Toller E670585 entity
Predicate notableWork P4 FINISHED
Object Eine Jugend in Deutschland
Eine Jugend in Deutschland is the autobiographical work of German playwright and revolutionary Ernst Toller, depicting his formative years and political radicalization in early 20th-century Germany.
E1741019 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: Eine Jugend in Deutschland | Statement: [Ernst Toller, notableWork, Eine Jugend in Deutschland]
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: Eine Jugend in Deutschland
Triple: [Ernst Toller, notableWork, Eine Jugend in Deutschland]
Generated description
Eine Jugend in Deutschland is the autobiographical work of German playwright and revolutionary Ernst Toller, depicting his formative years and political radicalization in early 20th-century Germany.

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_69eeb31d45f8819089f52ebdbc556218 completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69f619bdeaa481909f4801c066eecf18 completed May 2, 2026, 3:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12096966e88190b63402acbd094508 completed May 23, 2026, 8:09 p.m.
NEDg Description generation batch_6a1209f1525c8190aa9433a260ca0482 completed May 23, 2026, 8:11 p.m.
NED2 Entity disambiguation (via description) batch_6a120a9a37ec8190ba4b6bdef82cb1e0 completed May 23, 2026, 8:14 p.m.
Created at: April 27, 2026, 4:18 a.m.