Triple

T6248999
Position Surface form Disambiguated ID Type / Status
Subject Arthur Nebe E139996 entity
Predicate familyName P18 FINISHED
Object Nebe
Nebe is a German surname most notably associated with Arthur Nebe, a high-ranking Nazi official and SS officer during World War II.
 E582275 NE FINISHED

How this triple was built (4 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: Nebe | Statement: [Arthur Nebe, familyName, Nebe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nebe
Context triple: [Arthur Nebe, familyName, Nebe]
  • A. Varuna
    Varuna is an ancient Vedic god primarily associated with cosmic order, moral law, and the waters, often regarded as a sovereign guardian of ṛta (universal order).
  • B. Varuna
    Varuna is a large, rapidly rotating trans-Neptunian object in the Kuiper Belt, notable for its elongated shape and classification as a likely dwarf-planet candidate.
  • C. Merak
    Merak is a major port town in western Java, Indonesia, serving as a key ferry gateway between Java and Sumatra.
  • D. Syrrako
    Syrrako is a traditional stone-built mountain village in the Tzoumerka region of Epirus, Greece, known for its well-preserved architecture and dramatic natural setting.
  • E. Solsidan
    Solsidan is a residential area in Saltsjöbaden, Sweden, known for its affluent seaside villas and as the setting of a popular Swedish TV comedy series of the same name.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Nebe
Triple: [Arthur Nebe, familyName, Nebe]
Generated description
Nebe is a German surname most notably associated with Arthur Nebe, a high-ranking Nazi official and SS officer during World War II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nebe
Target entity description: Nebe is a German surname most notably associated with Arthur Nebe, a high-ranking Nazi official and SS officer during World War II.
  • A. Varuna
    Varuna is an ancient Vedic god primarily associated with cosmic order, moral law, and the waters, often regarded as a sovereign guardian of ṛta (universal order).
  • B. Varuna
    Varuna is a large, rapidly rotating trans-Neptunian object in the Kuiper Belt, notable for its elongated shape and classification as a likely dwarf-planet candidate.
  • C. Merak
    Merak is a major port town in western Java, Indonesia, serving as a key ferry gateway between Java and Sumatra.
  • D. Syrrako
    Syrrako is a traditional stone-built mountain village in the Tzoumerka region of Epirus, Greece, known for its well-preserved architecture and dramatic natural setting.
  • E. Solsidan
    Solsidan is a residential area in Saltsjöbaden, Sweden, known for its affluent seaside villas and as the setting of a popular Swedish TV comedy series of the same name.
  • F. None of above. chosen

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_69c008b4858c819095b0199114a9a87b completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0633c5f2081909b0246e061f8a7d9 completed March 22, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5191d2d248190b34edca246ee74b8 completed March 26, 2026, 11:31 a.m.
NEDg Description generation batch_69c51ac2c2f88190a4e12725a5044fa9 completed March 26, 2026, 11:38 a.m.
NED2 Entity disambiguation (via description) batch_69c582c674e0819083b3d5c4c7eb7826 completed March 26, 2026, 7:02 p.m.
Created at: March 22, 2026, 4:24 p.m.