Triple
T9429357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jane Krakowski |
E227332
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Krakowski
Krakowski is a Polish surname most notably borne by American actress and singer Jane Krakowski, known for her roles in television, film, and theater.
|
E799606
|
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: Krakowski | Statement: [Jane Krakowski, familyName, Krakowski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Krakowski Context triple: [Jane Krakowski, familyName, Krakowski]
-
A.
Łuck
Łuck is the Polish name for Lutsk, a historic city in western Ukraine known for its medieval castle and role as a regional cultural center.
-
B.
Nowakowski
Nowakowski is a Polish-origin surname borne by various individuals across fields such as science, sports, and the arts.
-
C.
Skrzyński
Skrzyński is a Polish surname most notably associated with Aleksander Skrzyński, a prominent early 20th-century Polish politician and diplomat.
-
D.
Lorkowski
Lorkowski is a surname of likely Polish origin borne by individuals such as Joe Lorkowski.
-
E.
Crac
Crac is a Canadian animated short film by Frédéric Back that portrays the changing life of Quebec society through the story of a rocking chair.
- 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: Krakowski Triple: [Jane Krakowski, familyName, Krakowski]
Generated description
Krakowski is a Polish surname most notably borne by American actress and singer Jane Krakowski, known for her roles in television, film, and theater.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Krakowski Target entity description: Krakowski is a Polish surname most notably borne by American actress and singer Jane Krakowski, known for her roles in television, film, and theater.
-
A.
Łuck
Łuck is the Polish name for Lutsk, a historic city in western Ukraine known for its medieval castle and role as a regional cultural center.
-
B.
Nowakowski
Nowakowski is a Polish-origin surname borne by various individuals across fields such as science, sports, and the arts.
-
C.
Skrzyński
Skrzyński is a Polish surname most notably associated with Aleksander Skrzyński, a prominent early 20th-century Polish politician and diplomat.
-
D.
Lorkowski
Lorkowski is a surname of likely Polish origin borne by individuals such as Joe Lorkowski.
-
E.
Crac
Crac is a Canadian animated short film by Frédéric Back that portrays the changing life of Quebec society through the story of a rocking chair.
- 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_69ca8436ba308190903e470776d2d893 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7c94719c81909d7743a57c45e07f |
completed | April 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d11038f7b88190bd6b895f5544c63e |
completed | April 4, 2026, 1:20 p.m. |
| NEDg | Description generation | batch_69d111a770c881909a2902d36cd7913c |
completed | April 4, 2026, 1:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d112634fb48190b4c7e9d997d27928 |
completed | April 4, 2026, 1:30 p.m. |
Created at: March 30, 2026, 7:49 p.m.