Triple

T6217189
Position Surface form Disambiguated ID Type / Status
Subject Comedian Harmonists (film) E139017 entity
Predicate stars P1956 FINISHED
Object Ulrich Noethen
Ulrich Noethen is a German actor known for his versatile film and television roles, including his portrayal of baritone Roman Cycowski in the historical drama "Comedian Harmonists."
E2297508 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: Ulrich Noethen | Statement: [Comedian Harmonists (film), stars, Ulrich Noethen]
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: Ulrich Noethen
Triple: [Comedian Harmonists (film), stars, Ulrich Noethen]
Generated description
Ulrich Noethen is a German actor known for his versatile film and television roles, including his portrayal of baritone Roman Cycowski in the historical drama "Comedian Harmonists."

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_69c008aecb0c81909984b48f733ce8ae completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062a35e308190be25c41b02704411 completed March 22, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a838ede646c81909a1cdfdec4e273f7 completed Aug. 17, 2026, 10:44 p.m.
NEDg Description generation batch_6a838f49184c81908bf2d90ea2edb161 completed Aug. 17, 2026, 10:46 p.m.
NED2 Entity disambiguation (via description) batch_6a838faad7088190b2b2d0f49440aa5d completed Aug. 17, 2026, 10:48 p.m.
Created at: March 22, 2026, 4:21 p.m.