Triple

T6622780
Position Surface form Disambiguated ID Type / Status
Subject Hermine Reuss of Greiz E149717 entity
Predicate givenName P17 FINISHED
Object Hermine
Hermine was a German princess of the House of Reuss who became the second wife of the former German Emperor Wilhelm II.
E606249 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: Hermine | Statement: [Hermine Reuss of Greiz, givenName, Hermine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hermine
Context triple: [Hermine Reuss of Greiz, givenName, Hermine]
  • A. Hermine
    Hermine is the birth name of Miep Gies, the Dutch woman who helped hide Anne Frank and preserved her diary during World War II.
  • B. Helietta
    Helietta is a small genus of flowering plants in the citrus family Rutaceae, comprising mostly Neotropical trees and shrubs known for their aromatic properties.
  • C. Hedwig
    Hedwig is the birth name of Hedy Lamarr, the Austrian-born Hollywood actress and inventor known for pioneering frequency-hopping technology.
  • D. Nigellus
    Nigellus is a Latinized medieval given name that serves as the root form from which the modern English name Nigel developed.
  • E. Delia
    Delia is a feminine given name used in various cultures, often as a standalone name or a diminutive of longer names like Cordelia or Adelia.
  • 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: Hermine
Triple: [Hermine Reuss of Greiz, givenName, Hermine]
Generated description
Hermine was a German princess of the House of Reuss who became the second wife of the former German Emperor Wilhelm II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hermine
Target entity description: Hermine was a German princess of the House of Reuss who became the second wife of the former German Emperor Wilhelm II.
  • A. Hermine
    Hermine is the birth name of Miep Gies, the Dutch woman who helped hide Anne Frank and preserved her diary during World War II.
  • B. Helietta
    Helietta is a small genus of flowering plants in the citrus family Rutaceae, comprising mostly Neotropical trees and shrubs known for their aromatic properties.
  • C. Hedwig
    Hedwig is the birth name of Hedy Lamarr, the Austrian-born Hollywood actress and inventor known for pioneering frequency-hopping technology.
  • D. Nigellus
    Nigellus is a Latinized medieval given name that serves as the root form from which the modern English name Nigel developed.
  • E. Delia
    Delia is a feminine given name used in various cultures, often as a standalone name or a diminutive of longer names like Cordelia or Adelia.
  • 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_69c687ed8a9c81908bb671717cb192ef completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af7decb08190a7b1ddb95e534a6a completed March 27, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e44b251481909dca5ff82e1dbf0f completed March 27, 2026, 8:10 p.m.
NEDg Description generation batch_69c6e52ba51c81908439acc1a4af9d6e completed March 27, 2026, 8:14 p.m.
NED2 Entity disambiguation (via description) batch_69c6e5b6e6f48190a813fcd1473be4e1 completed March 27, 2026, 8:16 p.m.
Created at: March 27, 2026, 1:58 p.m.