Triple

T21376593
Position Surface form Disambiguated ID Type / Status
Subject George Grunert E527223 entity
Predicate familyName P18 FINISHED
Object Grunert
Grunert is a German-origin surname borne by various notable individuals, including military figures and professionals in diverse fields.
E1481250 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: Grunert | Statement: [George Grunert, familyName, Grunert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grunert
Context triple: [George Grunert, familyName, Grunert]
  • A. Gründgens
    Gründgens is a German surname most famously borne by the influential 20th-century actor and director Gustaf Gründgens.
  • B. Arestrup
    Arestrup is a Danish-origin surname most notably borne by acclaimed French actor and screenwriter Niels Arestrup.
  • C. Bundsgaard
    Bundsgaard is a Danish surname most notably associated with Jacob Bundsgaard, the mayor of Aarhus, Denmark.
  • D. Linderud
    Linderud is a residential neighborhood in Oslo, Norway, known for its apartment blocks, shopping center, and access to public transportation.
  • E. Reinholdt
    Reinholdt is a masculine given name of Germanic origin, often associated with individuals from German-speaking regions.
  • 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: Grunert
Triple: [George Grunert, familyName, Grunert]
Generated description
Grunert is a German-origin surname borne by various notable individuals, including military figures and professionals in diverse fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Grunert
Target entity description: Grunert is a German-origin surname borne by various notable individuals, including military figures and professionals in diverse fields.
  • A. Gründgens
    Gründgens is a German surname most famously borne by the influential 20th-century actor and director Gustaf Gründgens.
  • B. Arestrup
    Arestrup is a Danish-origin surname most notably borne by acclaimed French actor and screenwriter Niels Arestrup.
  • C. Bundsgaard
    Bundsgaard is a Danish surname most notably associated with Jacob Bundsgaard, the mayor of Aarhus, Denmark.
  • D. Linderud
    Linderud is a residential neighborhood in Oslo, Norway, known for its apartment blocks, shopping center, and access to public transportation.
  • E. Reinholdt
    Reinholdt is a masculine given name of Germanic origin, often associated with individuals from German-speaking regions.
  • 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_69e0b51f363c8190944000ab5523b02b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b0c79df88190b4b9804efebc8c6e completed April 22, 2026, 11:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09b420a0288190bb074e6e9a29fdb6 completed May 17, 2026, 12:27 p.m.
NEDg Description generation batch_6a09b4f828b88190a2b203eef44880f5 completed May 17, 2026, 12:30 p.m.
NED2 Entity disambiguation (via description) batch_6a09b5aeb89c81909569ae7d5b611357 completed May 17, 2026, 12:33 p.m.
Created at: April 16, 2026, 5:11 p.m.