Triple
T6392894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jerzy Podbrożny |
E143870
|
entity |
| Predicate | playedFor |
P2170
|
FINISHED |
| Object |
Amica Wronki
Amica Wronki was a Polish professional football club best known for its success in the 1990s and early 2000s, including multiple national cup victories.
|
E590817
|
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: Amica Wronki | Statement: [Jerzy Podbrożny, playedFor, Amica Wronki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amica Wronki Context triple: [Jerzy Podbrożny, playedFor, Amica Wronki]
-
A.
Ewelina Hańska
Ewelina Hańska was a Polish noblewoman best known as the longtime correspondent, muse, and eventually wife of French novelist Honoré de Balzac.
-
B.
Maria Wojciechowska
Maria Wojciechowska was the wife of Polish President Stanisław Wojciechowski and served as First Lady of Poland in the early 1920s.
-
C.
Maria Jankowska
Maria Jankowska was a Polish political activist known for her pioneering role in the early socialist movement in Poland.
-
D.
Hanna Zdanowska
Hanna Zdanowska is a Polish politician best known for serving as the long-time mayor of the city of Łódź.
-
E.
Anna Maria Komorowska
Anna Maria Komorowska is a Polish-born aristocrat best known as the mother of Queen Mathilde of Belgium.
- 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: Amica Wronki Triple: [Jerzy Podbrożny, playedFor, Amica Wronki]
Generated description
Amica Wronki was a Polish professional football club best known for its success in the 1990s and early 2000s, including multiple national cup victories.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Amica Wronki Target entity description: Amica Wronki was a Polish professional football club best known for its success in the 1990s and early 2000s, including multiple national cup victories.
-
A.
Ewelina Hańska
Ewelina Hańska was a Polish noblewoman best known as the longtime correspondent, muse, and eventually wife of French novelist Honoré de Balzac.
-
B.
Maria Wojciechowska
Maria Wojciechowska was the wife of Polish President Stanisław Wojciechowski and served as First Lady of Poland in the early 1920s.
-
C.
Maria Jankowska
Maria Jankowska was a Polish political activist known for her pioneering role in the early socialist movement in Poland.
-
D.
Hanna Zdanowska
Hanna Zdanowska is a Polish politician best known for serving as the long-time mayor of the city of Łódź.
-
E.
Anna Maria Komorowska
Anna Maria Komorowska is a Polish-born aristocrat best known as the mother of Queen Mathilde of Belgium.
- 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_69c008db906c819096f3597d55d95432 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0687f5c6c81909c835329c996b311 |
completed | March 22, 2026, 10:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6388f42648190adbc2d1c1efa75a5 |
completed | March 27, 2026, 7:58 a.m. |
| NEDg | Description generation | batch_69c63c5d5e2881908a27021616c69b97 |
completed | March 27, 2026, 8:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c63cb876788190a26ae84c2c69df95 |
completed | March 27, 2026, 8:15 a.m. |
Created at: March 22, 2026, 4:34 p.m.