Triple

T7336735
Position Surface form Disambiguated ID Type / Status
Subject Egil Krogh E169145 entity
Predicate familyName P18 FINISHED
Object Krogh
Krogh is a Norwegian surname borne by various notable figures in politics, science, and the arts.
 E657869 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: Krogh | Statement: [Egil Krogh, familyName, Krogh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Krogh
Context triple: [Egil Krogh, familyName, Krogh]
  • A. Flemming
    Flemming is a surname and given name of Germanic origin, used by various notable individuals across fields such as politics, arts, and science.
  • B. Köhler
    Köhler is a German surname most notably associated with psychologist Wolfgang Köhler, a key figure in the development of Gestalt psychology.
  • C. Knudsen
    Knudsen is a Danish-origin surname borne by various notable individuals in fields such as industry, science, and the arts.
  • D. Bonger
    Bonger is a Dutch surname most notably associated with Johanna van Gogh-Bonger, the key figure in preserving and promoting Vincent van Gogh’s artistic legacy.
  • E. Kleiber
    Kleiber is a German surname most famously associated with Carlos Kleiber, one of the 20th century’s most acclaimed orchestral conductors.
  • 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: Krogh
Triple: [Egil Krogh, familyName, Krogh]
Generated description
Krogh is a Norwegian surname borne by various notable figures in politics, science, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Krogh
Target entity description: Krogh is a Norwegian surname borne by various notable figures in politics, science, and the arts.
  • A. Flemming
    Flemming is a surname and given name of Germanic origin, used by various notable individuals across fields such as politics, arts, and science.
  • B. Köhler
    Köhler is a German surname most notably associated with psychologist Wolfgang Köhler, a key figure in the development of Gestalt psychology.
  • C. Knudsen
    Knudsen is a Danish-origin surname borne by various notable individuals in fields such as industry, science, and the arts.
  • D. Bonger
    Bonger is a Dutch surname most notably associated with Johanna van Gogh-Bonger, the key figure in preserving and promoting Vincent van Gogh’s artistic legacy.
  • E. Kleiber
    Kleiber is a German surname most famously associated with Carlos Kleiber, one of the 20th century’s most acclaimed orchestral conductors.
  • 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_69c68a568a6481908f11e20db7bc8446 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0c51884819098fe00dd3d5e44b2 completed March 27, 2026, 9:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ef22d6ac819087f05d6e6787509a completed March 28, 2026, 3:09 p.m.
NEDg Description generation batch_69c7f58ddcf88190bfc15f673083c009 completed March 28, 2026, 3:36 p.m.
NED2 Entity disambiguation (via description) batch_69c7f615d6d48190933ac515874299b9 completed March 28, 2026, 3:39 p.m.
Created at: March 27, 2026, 3:04 p.m.