Triple

T34415778
Position Surface form Disambiguated ID Type / Status
Subject Hermann Ulrici E883399 entity
Predicate notableWork P4 FINISHED
Object Shakespeare’s dramatische Kunst
Shakespeare’s dramatische Kunst is a major 19th-century German critical study that analyzes William Shakespeare’s plays from philosophical and aesthetic perspectives.
E1825393 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: Shakespeare’s dramatische Kunst | Statement: [Hermann Ulrici, notableWork, Shakespeare’s dramatische Kunst]
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: Shakespeare’s dramatische Kunst
Triple: [Hermann Ulrici, notableWork, Shakespeare’s dramatische Kunst]
Generated description
Shakespeare’s dramatische Kunst is a major 19th-century German critical study that analyzes William Shakespeare’s plays from philosophical and aesthetic perspectives.

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_69f349c2e3b88190a67834eb5bcffeaf completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f718d696e4819097d621f11c69f93b completed May 3, 2026, 9:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a370dd5e04c8190b83056a238d93217 completed June 20, 2026, 10:01 p.m.
NEDg Description generation batch_6a370eb21a108190a8abe1164cddbac9 completed June 20, 2026, 10:05 p.m.
NED2 Entity disambiguation (via description) batch_6a370f28a640819080ccc586b22bd785 completed June 20, 2026, 10:07 p.m.
Created at: May 1, 2026, 1:59 a.m.