Triple

T23074286
Position Surface form Disambiguated ID Type / Status
Subject Emmerich Kálmán E575284 entity
Predicate notableWork P4 FINISHED
Object Marinka
Marinka is a 1945 operetta by Hungarian composer Emmerich Kálmán, based on the story of the assassination of Archduke Franz Ferdinand in Sarajevo.
 E1569096 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: Marinka | Statement: [Emmerich Kálmán, notableWork, Marinka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marinka
Context triple: [Emmerich Kálmán, notableWork, Marinka]
  • A. Marianka
    Marianka is a small village in western Slovakia known as one of the country’s oldest and most significant Marian pilgrimage sites.
  • B. Khokhlova
    Khokhlova is a Russian surname most famously borne by Olga Khokhlova, a Ukrainian-Russian ballerina and the first wife of Pablo Picasso.
  • C. Miloslavskaya
    Miloslavskaya is a Russian surname historically associated with the noble family of Maria Miloslavskaya, the first wife of Tsar Alexei I of Russia.
  • D. Vika
    Vika is a central neighborhood in Oslo, Norway, known for its waterfront location, cultural institutions, and proximity to the city’s business district.
  • E. Yakushova
    Yakushova is a Russian surname, notably borne by Nina Ivanovna Yakushova.
  • 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: Marinka
Triple: [Emmerich Kálmán, notableWork, Marinka]
Generated description
Marinka is a 1945 operetta by Hungarian composer Emmerich Kálmán, based on the story of the assassination of Archduke Franz Ferdinand in Sarajevo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marinka
Target entity description: Marinka is a 1945 operetta by Hungarian composer Emmerich Kálmán, based on the story of the assassination of Archduke Franz Ferdinand in Sarajevo.
  • A. Marianka
    Marianka is a small village in western Slovakia known as one of the country’s oldest and most significant Marian pilgrimage sites.
  • B. Khokhlova
    Khokhlova is a Russian surname most famously borne by Olga Khokhlova, a Ukrainian-Russian ballerina and the first wife of Pablo Picasso.
  • C. Miloslavskaya
    Miloslavskaya is a Russian surname historically associated with the noble family of Maria Miloslavskaya, the first wife of Tsar Alexei I of Russia.
  • D. Vika
    Vika is a central neighborhood in Oslo, Norway, known for its waterfront location, cultural institutions, and proximity to the city’s business district.
  • E. Yakushova
    Yakushova is a Russian surname, notably borne by Nina Ivanovna Yakushova.
  • 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_69e245be28d48190ad1348d5a73db37d completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18c61bb7c8190a3d9b1fba173cdff completed April 29, 2026, 4:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c15aaf74881909d2cd5f3d730f1b4 completed May 19, 2026, 7:47 a.m.
NEDg Description generation batch_6a0c15f186208190889e0766ddf03343 completed May 19, 2026, 7:49 a.m.
NED2 Entity disambiguation (via description) batch_6a0c165b716c8190b1c1e1683fe897db completed May 19, 2026, 7:50 a.m.
Created at: April 17, 2026, 3:56 p.m.