Triple

T5821732
Position Surface form Disambiguated ID Type / Status
Subject Katyn (2007 film) E129123 entity
Predicate hasCastMember P2308 FINISHED
Object Danuta Stenka
Danuta Stenka is a renowned Polish film, television, and theatre actress known for her powerful dramatic roles and extensive work in Polish cinema.
E556326 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: Danuta Stenka | Statement: [Katyn (2007 film), hasCastMember, Danuta Stenka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danuta Stenka
Context triple: [Katyn (2007 film), hasCastMember, Danuta Stenka]
  • A. Ilona Szmick
    Ilona Szmick was the first wife of Hungarian-American actor Bela Lugosi, known for his iconic portrayal of Count Dracula.
  • B. Barbara Jaruzelska
    Barbara Jaruzelska was a Polish philologist and academic, best known as the wife of Poland’s former communist leader and president Wojciech Jaruzelski.
  • C. Tanja Stomporowski
    Tanja Stomporowski is a German local politician who serves as the mayor of the town of Quakenbrück in Lower Saxony.
  • D. Maria Jankowska
    Maria Jankowska was a Polish political activist known for her pioneering role in the early socialist movement in Poland.
  • E. Barbara Karinska
    Barbara Karinska was a renowned costume designer best known for her innovative and influential work for ballet companies such as the New York City Ballet.
  • 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: Danuta Stenka
Triple: [Katyn (2007 film), hasCastMember, Danuta Stenka]
Generated description
Danuta Stenka is a renowned Polish film, television, and theatre actress known for her powerful dramatic roles and extensive work in Polish cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Danuta Stenka
Target entity description: Danuta Stenka is a renowned Polish film, television, and theatre actress known for her powerful dramatic roles and extensive work in Polish cinema.
  • A. Ilona Szmick
    Ilona Szmick was the first wife of Hungarian-American actor Bela Lugosi, known for his iconic portrayal of Count Dracula.
  • B. Barbara Jaruzelska
    Barbara Jaruzelska was a Polish philologist and academic, best known as the wife of Poland’s former communist leader and president Wojciech Jaruzelski.
  • C. Tanja Stomporowski
    Tanja Stomporowski is a German local politician who serves as the mayor of the town of Quakenbrück in Lower Saxony.
  • D. Maria Jankowska
    Maria Jankowska was a Polish political activist known for her pioneering role in the early socialist movement in Poland.
  • E. Barbara Karinska
    Barbara Karinska was a renowned costume designer best known for her innovative and influential work for ballet companies such as the New York City Ballet.
  • 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_69c0084869e881908d7859492183ca7b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c033e7403881908f5e3fe40183865a completed March 22, 2026, 6:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0bfb903788190bae497fe72bd1e78 completed March 23, 2026, 4:21 a.m.
NEDg Description generation batch_69c0c3dee3308190a01563fec23d5902 completed March 23, 2026, 4:38 a.m.
NED2 Entity disambiguation (via description) batch_69c0c41dbe2c8190b272087dd543f29b completed March 23, 2026, 4:39 a.m.
Created at: March 22, 2026, 3:53 p.m.