Triple

T21394543
Position Surface form Disambiguated ID Type / Status
Subject Georg I, Prince of Schaumburg-Lippe E527744 entity
Predicate givenName P17 FINISHED
Object Georg
Georg was a German prince of the House of Schaumburg-Lippe who briefly ruled the small principality in the late 19th century.
 E1482624 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 I, Prince of Schaumburg-Lippe, givenName, Georg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Georg
Context triple: [Georg I, Prince of Schaumburg-Lippe, givenName, Georg]
  • A. Georg
    Georg is the given first name of the renowned German mathematician Bernhard Riemann.
  • B. Georg
    Georg is the birth name of Pat Smear, the American guitarist best known for his work with the punk band Germs and the rock band Foo Fighters.
  • C. Georg-Hans
    Georg-Hans is the given name of Georg-Hans Reinhardt, a German general who served in the Wehrmacht during World War II.
  • D. 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.
  • E. Gerhard
    Gerhard is a masculine given name of German origin, historically common in German-speaking countries.
  • 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 I, Prince of Schaumburg-Lippe, givenName, Georg]
Generated description
Georg was a German prince of the House of Schaumburg-Lippe who briefly ruled the small principality in the late 19th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Georg
Target entity description: Georg was a German prince of the House of Schaumburg-Lippe who briefly ruled the small principality in the late 19th century.
  • A. Georg
    Georg is the given first name of the renowned German mathematician Bernhard Riemann.
  • B. Georg
    Georg is the birth name of Pat Smear, the American guitarist best known for his work with the punk band Germs and the rock band Foo Fighters.
  • C. Georg-Hans
    Georg-Hans is the given name of Georg-Hans Reinhardt, a German general who served in the Wehrmacht during World War II.
  • D. 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.
  • E. Gerhard
    Gerhard is a masculine given name of German origin, historically common in German-speaking countries.
  • 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_69e0b51ff3748190935c0a513c62a12b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b117d8c881908b823c1212b5b919 completed April 22, 2026, 11:29 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09bb4a9390819093f0ce34f96420ce completed May 17, 2026, 12:57 p.m.
NEDg Description generation batch_6a09bea3994481908b7a782fd384603a completed May 17, 2026, 1:12 p.m.
NED2 Entity disambiguation (via description) batch_6a09bf9d2d508190a45847afa0d47337 completed May 17, 2026, 1:16 p.m.
Created at: April 16, 2026, 5:13 p.m.