Triple
T5979988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michał Rola-Żymierski |
E133094
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Żymierski |
E148144
|
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: Żymierski | Statement: [Michał Rola-Żymierski, familyName, Żymierski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Żymierski Context triple: [Michał Rola-Żymierski, familyName, Żymierski]
-
A.
Żymierski
chosen
Żymierski is a Polish surname most notably associated with Michał Rola-Żymierski, a high-ranking military commander and communist-era Marshal of Poland.
-
B.
Korzeniowski
Korzeniowski is a Polish surname most notably borne by contemporary film and television composer Abel Korzeniowski.
-
C.
Zawisza
Zawisza is a Polish surname historically associated with several notable figures, including nobles, politicians, and cultural personalities.
-
D.
Kazimierz
Kazimierz is a historic district of Kraków known for its rich Jewish heritage, medieval architecture, and vibrant cultural life.
-
E.
Jan Szczepański
Jan Szczepański was a Polish mountaineer known for participating in pioneering high-altitude ascents in the Andes.
- 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_69c0086f45e8819098f73dd16d45ec9d |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04a40233081909c04f62ec0382bfd |
completed | March 22, 2026, 8 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1135b94a88190a9b8a90ecc56cee8 |
completed | March 23, 2026, 10:18 a.m. |
Created at: March 22, 2026, 4:04 p.m.