Triple
T8634974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wincenty Witos |
E204499
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Witos |
E204499
|
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: Witos | Statement: [Wincenty Witos, familyName, Witos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Witos Context triple: [Wincenty Witos, familyName, Witos]
-
A.
Witos
chosen
Witos is a Polish surname most notably borne by Wincenty Witos, a prominent early 20th-century Polish politician and three-time Prime Minister.
-
B.
Grósz
Grósz is a Hungarian surname most notably borne by Károly Grósz, a late-20th-century Hungarian communist politician and former Prime Minister.
-
C.
Kowalik
Kowalik is a Polish surname, likely of similar origin or family line to the surname Kowalski.
-
D.
Wachlarz
Wachlarz was a Polish World War II underground diversionary unit that conducted sabotage and intelligence operations, particularly in the eastern territories occupied by Nazi Germany.
-
E.
Wiktor
Wiktor is a masculine given name, primarily used in Slavic countries, that corresponds to the name Victor.
- 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_69ca834b903c8190add96cc651e1a477 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc475fb9dc8190bd0d6e5edd05ea79 |
completed | March 31, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebc1b330c81909ff8a6806401dfd1 |
completed | April 2, 2026, 6:57 p.m. |
Created at: March 30, 2026, 6:27 p.m.