Triple

T20275950
Position Surface form Disambiguated ID Type / Status
Subject The Seventh Room E503015 entity
Predicate castMember P1668 FINISHED
Object Katarzyna Figura
Katarzyna Figura is a prominent Polish film and theater actress known for her versatile performances in both dramatic and comedic roles.
 E1421475 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: Katarzyna Figura | Statement: [The Seventh Room, castMember, Katarzyna Figura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Katarzyna Figura
Context triple: [The Seventh Room, castMember, Katarzyna Figura]
  • A. Katarzyna
    Katarzyna is a common Polish female given name, equivalent to Catherine in English.
  • B. Dagmara
    Dagmara is a feminine given name, primarily used in Slavic countries, that is a variant of the name Dagmar.
  • C. Krystyna
    Krystyna is a central female character in Roman Polanski’s 1962 psychological drama film "Knife in the Water," whose interactions help drive the film’s tense, character-driven narrative.
  • D. Agata
    Agata is a feminine given name commonly used in several European countries, derived from the Greek name Agatha meaning "good" or "kind."
  • E. Dorota
    Dorota is a feminine given name used in various Slavic and European cultures, often considered a variant of Dorothy.
  • 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: Katarzyna Figura
Triple: [The Seventh Room, castMember, Katarzyna Figura]
Generated description
Katarzyna Figura is a prominent Polish film and theater actress known for her versatile performances in both dramatic and comedic roles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Katarzyna Figura
Target entity description: Katarzyna Figura is a prominent Polish film and theater actress known for her versatile performances in both dramatic and comedic roles.
  • A. Katarzyna
    Katarzyna is a common Polish female given name, equivalent to Catherine in English.
  • B. Dagmara
    Dagmara is a feminine given name, primarily used in Slavic countries, that is a variant of the name Dagmar.
  • C. Krystyna
    Krystyna is a central female character in Roman Polanski’s 1962 psychological drama film "Knife in the Water," whose interactions help drive the film’s tense, character-driven narrative.
  • D. Agata
    Agata is a feminine given name commonly used in several European countries, derived from the Greek name Agatha meaning "good" or "kind."
  • E. Dorota
    Dorota is a feminine given name used in various Slavic and European cultures, often considered a variant of Dorothy.
  • 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_69e0b4b0e79c8190bd61f22ef1329fa8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e675e3df68819096fb859bc92a0da1 completed April 20, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a085a21233881908fb835541ae88c70 completed May 16, 2026, 11:50 a.m.
NEDg Description generation batch_6a085a8b52088190976c1ef189de5a5b completed May 16, 2026, 11:52 a.m.
NED2 Entity disambiguation (via description) batch_6a085af42c1c81908c9ee0f84f9a9481 completed May 16, 2026, 11:54 a.m.
Created at: April 16, 2026, 10:32 a.m.