Triple
T19044216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mieszko II Lambert |
E466086
|
entity |
| Predicate | successor |
P78
|
FINISHED |
| Object | Bezprym |
—
|
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: Bezprym | Statement: [Mieszko II Lambert, successor, Bezprym]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bezprym Context triple: [Mieszko II Lambert, successor, Bezprym]
-
A.
Bezprym
chosen
Bezprym was an early 11th-century Polish duke, briefly ruling as the ruler of Poland after deposing his half-brother Mieszko II before being overthrown and killed.
-
B.
Niesky
Niesky is a small town in eastern Saxony, Germany, known for its historical connections to regional conflicts and its location near the Polish border.
-
C.
Bzura
Bzura is a river in central Poland known for its historical significance, including being the site of a major World War II battle.
-
D.
Oszmiana
Oszmiana is a historic town in present-day Belarus that was once an important local center within the former Polish–Lithuanian Commonwealth.
-
E.
Biegun
Biegun is a Polish surname borne by various individuals, including figures in politics, academia, and the arts.
- 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d802a75c8190a4ce45e5fbffc1b7 |
completed | April 20, 2026, 7:38 a.m. |
Created at: April 10, 2026, 12:03 p.m.