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.