Triple

T31386435
Position Surface form Disambiguated ID Type / Status
Subject Nazarene painters E800608 entity
Predicate hasMember P10 FINISHED
Object Eduard Jakob von Steinle
Eduard Jakob von Steinle was a 19th-century Austrian-German painter known for his religious and historical works and his association with the Nazarene movement.
E1964032 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: Eduard Jakob von Steinle | Statement: [Nazarene painters, hasMember, Eduard Jakob von Steinle]
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: Eduard Jakob von Steinle
Triple: [Nazarene painters, hasMember, Eduard Jakob von Steinle]
Generated description
Eduard Jakob von Steinle was a 19th-century Austrian-German painter known for his religious and historical works and his association with the Nazarene movement.

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_69f6a02998c48190bd9eef9e1e7c4980 completed May 3, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b1444b1c88190b1e8a566cbf7182d completed June 11, 2026, 8:02 p.m.
NEDg Description generation batch_6a2b152f4f288190bc87ac94f25b9047 completed June 11, 2026, 8:06 p.m.
NED2 Entity disambiguation (via description) batch_6a2b15c455f88190b2e64d5e21982529 completed June 11, 2026, 8:08 p.m.
Created at: April 29, 2026, 9:19 p.m.