Triple
T22503211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danuta Stenka |
E556326
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Stenka
Stenka is a Polish surname most notably borne by acclaimed film and theatre actress Danuta Stenka.
|
E1541003
|
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: Stenka | Statement: [Danuta Stenka, familyName, Stenka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stenka Context triple: [Danuta Stenka, familyName, Stenka]
-
A.
Storozhynets
Storozhynets is a small city in western Ukraine that serves as a local administrative and cultural center in the Chernivtsi region.
-
B.
Strelnikov
Strelnikov is the revolutionary alias of Pasha Antipov, a radical Bolshevik leader in Boris Pasternak’s novel "Doctor Zhivago."
-
C.
Bolotnikov
Bolotnikov is a Russian surname most notably associated with Ivan Bolotnikov, leader of a major early 17th-century peasant and Cossack uprising against the rule of Tsar Vasili IV.
-
D.
Stachka
Stachka is a 1925 Soviet silent film directed by Sergei Eisenstein that dramatizes a factory workers’ strike and is noted for its innovative montage techniques.
-
E.
Ignatyev
Ignatyev is a Russian surname borne by various notable figures in politics, military, sports, and the arts.
- 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: Stenka Triple: [Danuta Stenka, familyName, Stenka]
Generated description
Stenka is a Polish surname most notably borne by acclaimed film and theatre actress Danuta Stenka.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stenka Target entity description: Stenka is a Polish surname most notably borne by acclaimed film and theatre actress Danuta Stenka.
-
A.
Storozhynets
Storozhynets is a small city in western Ukraine that serves as a local administrative and cultural center in the Chernivtsi region.
-
B.
Strelnikov
Strelnikov is the revolutionary alias of Pasha Antipov, a radical Bolshevik leader in Boris Pasternak’s novel "Doctor Zhivago."
-
C.
Bolotnikov
Bolotnikov is a Russian surname most notably associated with Ivan Bolotnikov, leader of a major early 17th-century peasant and Cossack uprising against the rule of Tsar Vasili IV.
-
D.
Stachka
Stachka is a 1925 Soviet silent film directed by Sergei Eisenstein that dramatizes a factory workers’ strike and is noted for its innovative montage techniques.
-
E.
Ignatyev
Ignatyev is a Russian surname borne by various notable figures in politics, military, sports, and the arts.
- 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_69e11e555edc81909ca803587dafd747 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15d5a01888190ba65a05616b63cbe |
completed | April 29, 2026, 1:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b17e66d0881908e766c3e9c2dcb18 |
completed | May 18, 2026, 1:45 p.m. |
| NEDg | Description generation | batch_6a0b19ca1dec81909edd2ae35d77be86 |
completed | May 18, 2026, 1:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b1ada13008190bff68ad976f1c909 |
completed | May 18, 2026, 1:57 p.m. |
Created at: April 16, 2026, 8:50 p.m.