Triple
T19185799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tadeusz Zawadzki "Zośka" |
E469698
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Zawadzki |
—
|
NE NERFINISHED |
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: Zawadzki | Statement: [Tadeusz Zawadzki "Zośka", familyName, Zawadzki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zawadzki Context triple: [Tadeusz Zawadzki "Zośka", familyName, Zawadzki]
-
A.
Niedziałkowski
Niedziałkowski is a Polish surname most notably borne by Mieczysław Niedziałkowski, a prominent interwar socialist politician and publicist.
-
B.
Tadeusz Zawadzki "Zośka"
chosen
Tadeusz Zawadzki "Zośka" was a legendary Polish scoutmaster and Home Army officer, renowned for his leadership in the underground resistance during World War II and as one of the most famous heroes of the Warsaw youth movement.
-
C.
Żółkiewski
Żółkiewski is a Polish noble surname most famously associated with the hetman and statesman Stanisław Żółkiewski of the Polish–Lithuanian Commonwealth.
-
D.
Zbyszek
Zbyszek is a common Polish diminutive form of the male given name Zbigniew.
-
E.
Kłopotowski
Kłopotowski is a Polish surname most notably borne by Ignacy Kłopotowski, a Catholic priest and publisher.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f6202b3881908b34ec4921fb90ca |
completed | April 20, 2026, 9:47 a.m. |
Created at: April 10, 2026, 12:07 p.m.