Triple

T31387663
Position Surface form Disambiguated ID Type / Status
Subject Gerhard Richter catalogue raisonné E800641 entity
Predicate hasEditor P1954 FINISHED
Object Dieter Schwarz
Dieter Schwarz is a German art historian and curator known for his scholarly work on contemporary art, including editing major catalogues raisonnés such as that of Gerhard Richter.
E2292163 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: Dieter Schwarz | Statement: [Gerhard Richter catalogue raisonné, hasEditor, Dieter Schwarz]
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: Dieter Schwarz
Triple: [Gerhard Richter catalogue raisonné, hasEditor, Dieter Schwarz]
Generated description
Dieter Schwarz is a German art historian and curator known for his scholarly work on contemporary art, including editing major catalogues raisonnés such as that of Gerhard Richter.

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_69f224e9d7048190b0cc20f9071bd3e4 completed April 29, 2026, 3:34 p.m.
NER Named-entity recognition batch_69f6a02aa85481909827394279130ec2 completed May 3, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a5ccd43a77c8190ad61abd803cba5b9 completed July 19, 2026, 1:12 p.m.
NEDg Description generation batch_6a5cce5a49188190a8b4a9167dc55eec completed July 19, 2026, 1:17 p.m.
NED2 Entity disambiguation (via description) batch_6a5ccec42abc8190a764c07c0544ebe2 completed July 19, 2026, 1:19 p.m.
Created at: April 29, 2026, 9:19 p.m.