Triple
T10596854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Władysław Bortnowski |
E250136
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Bortnowski |
E250136
|
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: Bortnowski | Statement: [Władysław Bortnowski, familyName, Bortnowski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bortnowski Context triple: [Władysław Bortnowski, familyName, Bortnowski]
-
A.
Bortnowski
chosen
Bortnowski is a Polish surname most notably associated with Władysław Bortnowski, a Polish general who served during World War II.
-
B.
Bomowski
Bomowski is a surname most notably associated with the fictional character Tutty Bomowski.
-
C.
Beniowski
Beniowski is a narrative poem by Polish Romantic poet Juliusz Słowacki that blends adventure, satire, and reflection on national identity.
-
D.
Brodinski
Brodinski is a French DJ and electronic music producer known for his dark, techno-influenced sound and role in shaping the modern French electronic and club scene.
-
E.
Mrugowsky
Mrugowsky is a German surname most notably associated with Joachim Mrugowsky, an SS officer and physician involved in Nazi human experimentation during World War II.
- 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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5278dacc4819089b759744f100e5f |
completed | April 7, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95e955d908190a5b26faf2558d78c |
completed | April 10, 2026, 8:33 p.m. |
Created at: April 6, 2026, 12:41 p.m.