Triple

T14835015
Position Surface form Disambiguated ID Type / Status
Subject Georg von Derfflinger E348808 entity
Predicate givenName P17 FINISHED
Object Georg
Georg is a masculine given name of Greek origin, commonly used in German-speaking countries and equivalent to the English name George.
 E56084 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: Georg | Statement: [Georg von Derfflinger, givenName, Georg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Georg
Context triple: [Georg von Derfflinger, givenName, Georg]
  • A. Georg
    Georg is the given first name of the renowned German mathematician Bernhard Riemann.
  • B. Georg-Hans
    Georg-Hans is the given name of Georg-Hans Reinhardt, a German general who served in the Wehrmacht during World War II.
  • C. Georgiring
    Georgiring is a major ring road in central Leipzig, Germany, forming part of the inner city ring around Augustusplatz and other key downtown areas.
  • D. Gerhard
    Gerhard is a masculine given name of German origin, historically common in German-speaking countries.
  • E. Georgy
    Georgy is a masculine given name of Russian origin, notably borne by Soviet military commander Georgy Zhukov.
  • 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: Georg
Triple: [Georg von Derfflinger, givenName, Georg]
Generated description
Georg is a masculine given name of Greek origin, commonly used in German-speaking countries and equivalent to the English name George.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Georg
Target entity description: Georg is a masculine given name of Greek origin, commonly used in German-speaking countries and equivalent to the English name George.
  • A. Georg chosen
    Georg is the given first name of the renowned German mathematician Bernhard Riemann.
  • B. Georg-Hans
    Georg-Hans is the given name of Georg-Hans Reinhardt, a German general who served in the Wehrmacht during World War II.
  • C. Georgiring
    Georgiring is a major ring road in central Leipzig, Germany, forming part of the inner city ring around Augustusplatz and other key downtown areas.
  • D. Gerhard
    Gerhard is a masculine given name of German origin, historically common in German-speaking countries.
  • E. Georgy
    Georgy is a masculine given name of Russian origin, notably borne by Soviet military commander Georgy Zhukov.
  • F. None of above.

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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded076ac9c8190a05cabec5e87d207 completed April 14, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe38a5d8888190821988ad00351d05 completed May 8, 2026, 7:25 p.m.
NEDg Description generation batch_69fe3c99aae48190be6a4bd5914217f3 completed May 8, 2026, 7:42 p.m.
NED2 Entity disambiguation (via description) batch_69fe3d0122bc8190baa8c694ade8cc26 completed May 8, 2026, 7:44 p.m.
Created at: April 10, 2026, 1:52 a.m.