Triple
T21967903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Janusz Kurtyka |
E542506
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Kurtyka
Kurtyka is a Polish surname most notably associated with figures such as historian and public official Janusz Kurtyka.
|
E1510153
|
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: Kurtyka | Statement: [Janusz Kurtyka, familyName, Kurtyka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kurtyka Context triple: [Janusz Kurtyka, familyName, Kurtyka]
-
A.
Kosinski
Kosinski is a surname most prominently associated with American film director Joseph Kosinski, known for visually striking action and science-fiction movies.
-
B.
Alexander Grin
Alexander Grin was a Russian writer best known for his romantic and adventure fiction, particularly the symbolist novella "Scarlet Sails."
-
C.
Horsztyński
"Horsztyński" is a dramatic work by Polish Romantic poet and playwright Juliusz Słowacki, reflecting his characteristic themes of patriotism, inner conflict, and national struggle.
-
D.
Skubiszewski
Skubiszewski is a Polish surname most notably associated with composer Cezary Skubiszewski, known for his film and television scores.
-
E.
Kornél
Kornél is a Hungarian masculine given name, notably borne by acclaimed film and theatre director Kornél Mundruczó.
- 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: Kurtyka Triple: [Janusz Kurtyka, familyName, Kurtyka]
Generated description
Kurtyka is a Polish surname most notably associated with figures such as historian and public official Janusz Kurtyka.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kurtyka Target entity description: Kurtyka is a Polish surname most notably associated with figures such as historian and public official Janusz Kurtyka.
-
A.
Kosinski
Kosinski is a surname most prominently associated with American film director Joseph Kosinski, known for visually striking action and science-fiction movies.
-
B.
Alexander Grin
Alexander Grin was a Russian writer best known for his romantic and adventure fiction, particularly the symbolist novella "Scarlet Sails."
-
C.
Horsztyński
"Horsztyński" is a dramatic work by Polish Romantic poet and playwright Juliusz Słowacki, reflecting his characteristic themes of patriotism, inner conflict, and national struggle.
-
D.
Skubiszewski
Skubiszewski is a Polish surname most notably associated with composer Cezary Skubiszewski, known for his film and television scores.
-
E.
Kornél
Kornél is a Hungarian masculine given name, notably borne by acclaimed film and theatre director Kornél Mundruczó.
- 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_69e0c47fab1081908dc74a6545dbb051 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1245c5d148190af2a06190ba32feb |
completed | April 28, 2026, 9:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a6714dec081908b4b7c33b10c1ccb |
completed | May 18, 2026, 1:10 a.m. |
| NEDg | Description generation | batch_6a0a67b1437c81909ad38cf9c183a073 |
completed | May 18, 2026, 1:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a68244250819082094878c9001b5c |
completed | May 18, 2026, 1:15 a.m. |
Created at: April 16, 2026, 8:02 p.m.