Triple

T9813619
Position Surface form Disambiguated ID Type / Status
Subject Příbor E238340 entity
Predicate hasNotablePerson P304 FINISHED
Object Marek Sikora
Marek Sikora was a Czech film and theater actor and director known for his work in late 20th-century Czechoslovak cinema and stage productions.
E823284 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: Marek Sikora | Statement: [Příbor, hasNotablePerson, Marek Sikora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marek Sikora
Context triple: [Příbor, hasNotablePerson, Marek Sikora]
  • A. Marek Chodor
    Marek Chodor is an architect known for designing the Bełżec memorial and museum commemorating victims of the Holocaust in Poland.
  • B. Marek Janowski
    Marek Janowski is a renowned Polish-born German conductor particularly celebrated for his interpretations of the German Romantic and Wagnerian operatic repertoire.
  • C. Radek Ladczuk
    Radek Ladczuk is a Polish cinematographer best known for his atmospheric work on the acclaimed horror film "The Babadook."
  • D. Marek Pająk
    Marek Pająk is a Polish guitarist best known for his work with the progressive rock band Riverside.
  • E. Stefan Szczucki
    Stefan Szczucki was the husband of Polish writer and World War II resistance activist Zofia Kossak-Szczucka.
  • 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: Marek Sikora
Triple: [Příbor, hasNotablePerson, Marek Sikora]
Generated description
Marek Sikora was a Czech film and theater actor and director known for his work in late 20th-century Czechoslovak cinema and stage productions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Marek Sikora
Target entity description: Marek Sikora was a Czech film and theater actor and director known for his work in late 20th-century Czechoslovak cinema and stage productions.
  • A. Marek Chodor
    Marek Chodor is an architect known for designing the Bełżec memorial and museum commemorating victims of the Holocaust in Poland.
  • B. Marek Janowski
    Marek Janowski is a renowned Polish-born German conductor particularly celebrated for his interpretations of the German Romantic and Wagnerian operatic repertoire.
  • C. Radek Ladczuk
    Radek Ladczuk is a Polish cinematographer best known for his atmospheric work on the acclaimed horror film "The Babadook."
  • D. Marek Pająk
    Marek Pająk is a Polish guitarist best known for his work with the progressive rock band Riverside.
  • E. Stefan Szczucki
    Stefan Szczucki was the husband of Polish writer and World War II resistance activist Zofia Kossak-Szczucka.
  • 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_69ca84defac48190abc1148804f184c1 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb22410208190b82b81a4df800f80 completed April 2, 2026, 12:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc63c450819091e57030a48e7d88 completed April 5, 2026, 2:43 a.m.
NEDg Description generation batch_69d1cce3d9d481909eaf7278dfe20955 completed April 5, 2026, 2:45 a.m.
NED2 Entity disambiguation (via description) batch_69d1cd5d1670819085c58ff8889318af completed April 5, 2026, 2:47 a.m.
Created at: March 30, 2026, 8:30 p.m.