Triple
T12244820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henryk Sucharski |
E291824
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Sucharski |
E298595
|
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: Sucharski | Statement: [Henryk Sucharski, familyName, Sucharski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sucharski Context triple: [Henryk Sucharski, familyName, Sucharski]
-
A.
Sucharski
chosen
Sucharski is a Polish surname most notably associated with Henryk Sucharski, a World War II military officer and commander during the defense of Westerplatte.
-
B.
Peschkowsky
Peschkowsky is the original family surname of acclaimed film and theater director Mike Nichols, reflecting his German-Jewish heritage.
-
C.
Mordarski
Mordarski is a taxonomist credited with formally describing and classifying bacterial taxa within the order Corynebacteriales.
-
D.
Piekarski
Piekarski is a Polish surname, typically derived from occupational or locational roots, borne by various individuals of Polish origin.
-
E.
Spychalski
Spychalski is a Polish surname borne by various individuals, including notable figures in Poland’s political and military history.
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cb724448190be29fc1d2b946ab7 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60ab7b9308190b621b71d75aa10cc |
completed | May 2, 2026, 2:31 p.m. |
Created at: April 8, 2026, 9:51 p.m.