Triple

T34112235
Position Surface form Disambiguated ID Type / Status
Subject Horst Böhme E874866 entity
Predicate employer P7 FINISHED
Object SS
The SS (Schutzstaffel) was a major paramilitary organization under Adolf Hitler and the Nazi Party, central to the regime’s security apparatus and responsible for many of its worst atrocities, including the Holocaust.
E1506 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: SS | Statement: [Horst Böhme, employer, SS]
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: SS
Triple: [Horst Böhme, employer, SS]
Generated description
The SS (Schutzstaffel) was a major paramilitary organization under Adolf Hitler and the Nazi Party, central to the regime’s security apparatus and responsible for many of its worst atrocities, including the Holocaust.

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_69f349a80d4481908527317d43f5c579 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f70cb63cc081909e115783bcc05e36 completed May 3, 2026, 8:52 a.m.
NED1 Entity disambiguation (via context triple) batch_6a36c1be80dc81908b12b53ad85aa6c8 completed June 20, 2026, 4:37 p.m.
NEDg Description generation batch_6a36c2c4e4308190990dcf3e9f431f09 completed June 20, 2026, 4:41 p.m.
NED2 Entity disambiguation (via description) batch_6a36c60d1a108190ab51536278cece6d completed June 20, 2026, 4:55 p.m.
Created at: May 1, 2026, 1:53 a.m.