Triple
T1910291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bór |
E38092
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object | Komorowski |
E175219
|
NE FINISHED |
How this triple was built (2 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: Komorowski | Statement: [Bór, hasFamilyName, Komorowski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Komorowski Context triple: [Bór, hasFamilyName, Komorowski]
-
A.
Edward Osóbka-Morawski
Edward Osóbka-Morawski was a Polish socialist politician who served as one of the early post-World War II leaders of communist-dominated Poland, including as prime minister.
-
B.
Zbigniew
Zbigniew is a masculine Slavic given name, particularly common in Poland.
-
C.
Jarosław Kaczyński
Jarosław Kaczyński is a Polish politician and long-time leader of the conservative Law and Justice party, widely regarded as one of the most influential figures in contemporary Polish politics.
-
D.
Bronisław Komorowski
chosen
Bronisław Komorowski is a Polish politician and historian who served as the country’s president from 2010 to 2015.
-
E.
Zbigniew Wojna
Zbigniew Wojna is a computer scientist and researcher known for his contributions to deep learning and computer vision, including coauthoring influential work with Christian Szegedy.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a8862a26088190aae5243695aeefc0 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb1b7095c8190ad7e472aada30d3d |
completed | March 7, 2026, 5:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adeaffbc2c81908303548fac82ff52 |
completed | March 8, 2026, 9:32 p.m. |
Created at: March 4, 2026, 7:35 p.m.