Triple
T16284194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antoni Łomnicki |
E395346
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Łomnicki |
E395346
|
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: Łomnicki | Statement: [Antoni Łomnicki, familyName, Łomnicki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Łomnicki Context triple: [Antoni Łomnicki, familyName, Łomnicki]
-
A.
Antoni Łomnicki
chosen
Antoni Łomnicki was a Polish mathematician and professor known for his contributions to mathematical analysis and probability theory, and as a prominent member of the interwar Lwów mathematical community.
-
B.
Aleksander Zawisza
Aleksander Zawisza was a Polish politician who served as prime minister of the Polish government-in-exile.
-
C.
Maciej Zawisza
Maciej Zawisza is a person notable enough to be recognized as a bearer of the surname Zawisza, though specific widely known achievements or roles are not clearly documented.
-
D.
Michal Zielinski
Michal Zielinski is a researcher who contributed as a co-author to the landmark 2021 Nature paper on AlphaFold by Jumper et al., which revolutionized protein structure prediction using deep learning.
-
E.
Andrzej Zawisza
Andrzej Zawisza is a Polish politician and public figure known for his involvement in national political affairs.
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24912c5808190a0d9c9f491315068 |
completed | April 17, 2026, 2:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017c8f51c8190b73cdf2834eda57f |
completed | May 10, 2026, 5:29 a.m. |
Created at: April 10, 2026, 5:05 a.m.