Triple

T7728398
Position Surface form Disambiguated ID Type / Status
Subject Krzysztof Penderecki E175189 entity
Predicate notableWork P4 FINISHED
Object Utrenja
Utrenja is a large-scale liturgical choral work by Krzysztof Penderecki that draws on Eastern Orthodox rites and avant-garde sonorities to depict the Passion and Resurrection of Christ.
 E684204 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: Utrenja | Statement: [Krzysztof Penderecki, notableWork, Utrenja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Utrenja
Context triple: [Krzysztof Penderecki, notableWork, Utrenja]
  • A. Maiernigg
    Maiernigg is a lakeside village on Austria’s Wörthersee, best known as Gustav Mahler’s summer retreat where he composed several major works.
  • B. Madruga
    Madruga is a municipality in western Cuba known for its rural character and location within the historical region surrounding Havana.
  • C. Morungen
    Morungen is the German name for the town now known as Morąg, located in northern Poland.
  • D. Rano
    Rano is a historic town and traditional emirate in northern Nigeria, located within Kano State.
  • E. Rano
    Rano is a dialect of the Uripiv-Wala-Rano-Atchin language cluster spoken in Vanuatu.
  • 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: Utrenja
Triple: [Krzysztof Penderecki, notableWork, Utrenja]
Generated description
Utrenja is a large-scale liturgical choral work by Krzysztof Penderecki that draws on Eastern Orthodox rites and avant-garde sonorities to depict the Passion and Resurrection of Christ.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Utrenja
Target entity description: Utrenja is a large-scale liturgical choral work by Krzysztof Penderecki that draws on Eastern Orthodox rites and avant-garde sonorities to depict the Passion and Resurrection of Christ.
  • A. Maiernigg
    Maiernigg is a lakeside village on Austria’s Wörthersee, best known as Gustav Mahler’s summer retreat where he composed several major works.
  • B. Madruga
    Madruga is a municipality in western Cuba known for its rural character and location within the historical region surrounding Havana.
  • C. Morungen
    Morungen is the German name for the town now known as Morąg, located in northern Poland.
  • D. Rano
    Rano is a historic town and traditional emirate in northern Nigeria, located within Kano State.
  • E. Rano
    Rano is a dialect of the Uripiv-Wala-Rano-Atchin language cluster spoken in Vanuatu.
  • 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_69c6995e912c81909a49a2657103f786 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c70315e8e88190a5c7e5d2f2ef66bc completed March 27, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b52adf6481908cb78e7cc7c4266d completed March 29, 2026, 5:14 a.m.
NEDg Description generation batch_69c8b5e091048190a105cb6743a6d69d completed March 29, 2026, 5:17 a.m.
NED2 Entity disambiguation (via description) batch_69c8b68f44148190b08882625db98f96 completed March 29, 2026, 5:20 a.m.
Created at: March 27, 2026, 4:06 p.m.