Triple

T22037259
Position Surface form Disambiguated ID Type / Status
Subject Kohn E544243 entity
Predicate isSurnameOf P37098 FINISHED
Object Milan Kohn
Milan Kohn is a Czech musicologist and critic known for his contributions to the study and interpretation of classical music.
E1517873 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: Milan Kohn | Statement: [Kohn, isSurnameOf, Milan Kohn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Milan Kohn
Context triple: [Kohn, isSurnameOf, Milan Kohn]
  • A. Oskar Karlweis
    Oskar Karlweis was an Austrian-born stage and film actor known for his character roles in European cinema and later in Hollywood productions.
  • B. Pavel Scheftel
    Pavel Scheftel was a Russian physician best known as the husband of pioneering psychoanalyst Sabina Spielrein.
  • C. Victor Kugler
    Victor Kugler was one of the Dutch helpers who risked his life to hide Anne Frank and her family during the Nazi occupation of the Netherlands.
  • D. Rudolf Sosna
    Rudolf Sosna was a German musician best known as a guitarist and songwriter for the experimental rock band Faust.
  • E. Oskar Nedbal
    Oskar Nedbal was a Czech violist, conductor, and composer of the late Romantic era, known especially for his operettas and orchestral works.
  • 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: Milan Kohn
Triple: [Kohn, isSurnameOf, Milan Kohn]
Generated description
Milan Kohn is a Czech musicologist and critic known for his contributions to the study and interpretation of classical music.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Milan Kohn
Target entity description: Milan Kohn is a Czech musicologist and critic known for his contributions to the study and interpretation of classical music.
  • A. Oskar Karlweis
    Oskar Karlweis was an Austrian-born stage and film actor known for his character roles in European cinema and later in Hollywood productions.
  • B. Pavel Scheftel
    Pavel Scheftel was a Russian physician best known as the husband of pioneering psychoanalyst Sabina Spielrein.
  • C. Victor Kugler
    Victor Kugler was one of the Dutch helpers who risked his life to hide Anne Frank and her family during the Nazi occupation of the Netherlands.
  • D. Rudolf Sosna
    Rudolf Sosna was a German musician best known as a guitarist and songwriter for the experimental rock band Faust.
  • E. Oskar Nedbal
    Oskar Nedbal was a Czech violist, conductor, and composer of the late Romantic era, known especially for his operettas and orchestral works.
  • 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_69e11e2f98c8819083e11eab90942a78 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127f32edc81909b6898af6621f56f completed April 28, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a878d1db481908687fc86efe0547e completed May 18, 2026, 3:29 a.m.
NEDg Description generation batch_6a0a88655b088190870c4ff9b6960c08 completed May 18, 2026, 3:32 a.m.
NED2 Entity disambiguation (via description) batch_6a0a893b67f081909967ba88ce7922a0 completed May 18, 2026, 3:36 a.m.
Created at: April 16, 2026, 8:25 p.m.