Triple

T19452448
Position Surface form Disambiguated ID Type / Status
Subject Kohan E486645 entity
Predicate variantOf P4680 FINISHED
Object Kohn NE NERFINISHED

How this triple was built (2 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: Kohn | Statement: [Kohan, variantOf, Kohn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kohn
Context triple: [Kohan, variantOf, Kohn]
  • A. Kohn chosen
    Kohn is a surname shared by various notable individuals across fields such as science, arts, and public life.
  • B. Kohn-Ma
    Kohn-Ma is a Bajoran resistance cell known for its militant opposition to Cardassian occupation in the Star Trek universe.
  • C. Kahn-Ackermann
    Kahn-Ackermann is a German surname most notably borne by the politician and diplomat Georg Kahn-Ackermann.
  • D. Cohen-Kagan
    Cohen-Kagan is a Hebrew-language surname most notably borne by Israeli politician and women's rights activist Rachel Cohen-Kagan.
  • E. Kahn
    Kahn is a surname most famously associated with Louis Kahn, the influential 20th-century architect known for his monumental and timeless modernist buildings.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63392aab08190aab09b7c356e5b10 completed April 20, 2026, 2:09 p.m.
Created at: April 10, 2026, 1:38 p.m.