Triple
T4387537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Maria Komorowska |
E99281
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Komorowska
Komorowska is a Polish surname borne by various notable individuals in Poland.
|
E435128
|
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: Komorowska | Statement: [Anna Maria Komorowska, familyName, Komorowska]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Komorowska Context triple: [Anna Maria Komorowska, familyName, Komorowska]
-
A.
Wasilewska
Wasilewska is a Polish surname most notably associated with Wanda Wasilewska, a 20th-century Polish and Soviet writer and communist activist.
-
B.
Walewska
Walewska is a Polish surname most famously associated with Maria Walewska, a noblewoman known as the mistress of Napoleon Bonaparte.
-
C.
Jaworzyna Krynicka
Jaworzyna Krynicka is a prominent mountain in southern Poland’s Beskid Sądecki range, known for its ski resort, hiking trails, and cable car access near the spa town of Krynica-Zdrój.
-
D.
Zofia
Zofia is a feminine given name of Slavic origin, particularly common in Poland and other Central and Eastern European countries.
-
E.
Witos
Witos is a Polish surname most notably borne by Wincenty Witos, a prominent early 20th-century Polish politician and three-time Prime Minister.
- 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: Komorowska Triple: [Anna Maria Komorowska, familyName, Komorowska]
Generated description
Komorowska is a Polish surname borne by various notable individuals in Poland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Komorowska Target entity description: Komorowska is a Polish surname borne by various notable individuals in Poland.
-
A.
Wasilewska
Wasilewska is a Polish surname most notably associated with Wanda Wasilewska, a 20th-century Polish and Soviet writer and communist activist.
-
B.
Walewska
Walewska is a Polish surname most famously associated with Maria Walewska, a noblewoman known as the mistress of Napoleon Bonaparte.
-
C.
Jaworzyna Krynicka
Jaworzyna Krynicka is a prominent mountain in southern Poland’s Beskid Sądecki range, known for its ski resort, hiking trails, and cable car access near the spa town of Krynica-Zdrój.
-
D.
Zofia
Zofia is a feminine given name of Slavic origin, particularly common in Poland and other Central and Eastern European countries.
-
E.
Witos
Witos is a Polish surname most notably borne by Wincenty Witos, a prominent early 20th-century Polish politician and three-time Prime Minister.
- 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_69b3454f739481909ff6c28331f0c0b9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b352804be88190ab188ac0dde1ac1e |
completed | March 12, 2026, 11:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5e52a0488819081fe724d592d8fdf |
completed | March 14, 2026, 10:46 p.m. |
| NEDg | Description generation | batch_69b5e619964081908193b4b40a940336 |
completed | March 14, 2026, 10:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5e681fa5c819084ec0e9092275754 |
completed | March 14, 2026, 10:51 p.m. |
Created at: March 12, 2026, 11:19 p.m.