Triple

T11299786
Position Surface form Disambiguated ID Type / Status
Subject A Blonde in Love E267552 entity
Predicate castMember P1668 FINISHED
Object Milada Ježková
Milada Ježková was a Czech film and theatre actress known for her character roles in mid-20th-century Czechoslovak cinema.
E918686 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: Milada Ježková | Statement: [A Blonde in Love, castMember, Milada Ježková]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Milada Ježková
Context triple: [A Blonde in Love, castMember, Milada Ježková]
  • A. Milada Rádlová
    Milada Rádlová was the daughter of Emil Hácha, the third president of Czechoslovakia during the early years of World War II.
  • B. Selma Ježková
    Selma Ježková is the tragic, near-blind Czech immigrant and factory worker portrayed by Björk in Lars von Trier’s musical drama film "Dancer in the Dark."
  • C. Magdaléna Husáková
    Magdaléna Husáková was the wife of former Czechoslovak president Gustáv Husák and a Slovak communist activist who was imprisoned during the Stalinist purges.
  • D. Milena Králíčková
    Milena Králíčková is a Czech academic and physician who serves as the rector of Charles University in Prague.
  • E. Dagmar Pecková
    Dagmar Pecková is a renowned Czech mezzo-soprano opera singer known for her performances on major European stages and her interpretations of both classical and contemporary repertoire.
  • 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: Milada Ježková
Triple: [A Blonde in Love, castMember, Milada Ježková]
Generated description
Milada Ježková was a Czech film and theatre actress known for her character roles in mid-20th-century Czechoslovak cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Milada Ježková
Target entity description: Milada Ježková was a Czech film and theatre actress known for her character roles in mid-20th-century Czechoslovak cinema.
  • A. Milada Rádlová
    Milada Rádlová was the daughter of Emil Hácha, the third president of Czechoslovakia during the early years of World War II.
  • B. Selma Ježková
    Selma Ježková is the tragic, near-blind Czech immigrant and factory worker portrayed by Björk in Lars von Trier’s musical drama film "Dancer in the Dark."
  • C. Magdaléna Husáková
    Magdaléna Husáková was the wife of former Czechoslovak president Gustáv Husák and a Slovak communist activist who was imprisoned during the Stalinist purges.
  • D. Milena Králíčková
    Milena Králíčková is a Czech academic and physician who serves as the rector of Charles University in Prague.
  • E. Dagmar Pecková
    Dagmar Pecková is a renowned Czech mezzo-soprano opera singer known for her performances on major European stages and her interpretations of both classical and contemporary repertoire.
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9a4aad4819097384e1b591be2e3 completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e525a842dc81909c84d8bd1a6414fa completed April 19, 2026, 6:57 p.m.
NEDg Description generation batch_69e52a78951c8190923711067cf4e7e5 completed April 19, 2026, 7:18 p.m.
NED2 Entity disambiguation (via description) batch_69e5319b6ef0819096debabfb6ffbe70 completed April 19, 2026, 7:48 p.m.
Created at: April 8, 2026, 9:32 p.m.