Triple

T36309937
Position Surface form Disambiguated ID Type / Status
Subject Nazi Party paramilitary ranks E894039 entity
Predicate includesRank P11443 FINISHED
Object Oberscharführer
Oberscharführer was a mid-level non-commissioned officer rank used in Nazi Party paramilitary organizations such as the SS and SA during the Third Reich.
E258012 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: Oberscharführer | Statement: [Nazi Party paramilitary ranks, includesRank, Oberscharführer]
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: Oberscharführer
Triple: [Nazi Party paramilitary ranks, includesRank, Oberscharführer]
Generated description
Oberscharführer was a mid-level non-commissioned officer rank used in Nazi Party paramilitary organizations such as the SS and SA during the Third Reich.

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_69f76e4c1b248190b10667d0213537fe completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7ba22e9ec8190b2a759c5da2473d4 completed May 3, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39b42196288190b35865fa3c23ea42 completed June 22, 2026, 10:16 p.m.
NEDg Description generation batch_6a39b4cc15dc8190b6f8df04e6c47b62 completed June 22, 2026, 10:18 p.m.
NED2 Entity disambiguation (via description) batch_6a39b58fb8a88190853f5ed510ee6fa6 completed June 22, 2026, 10:22 p.m.
Created at: May 3, 2026, 4:09 p.m.