Triple
T14940975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Konrad Krajewski |
E372524
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Krajewski |
E327457
|
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: Krajewski | Statement: [Konrad Krajewski, familyName, Krajewski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Krajewski Context triple: [Konrad Krajewski, familyName, Krajewski]
-
A.
Krajewski
chosen
Krajewski is a Polish surname commonly borne by individuals of Polish origin, including notable figures in religion, science, and the arts.
-
B.
Karaszewski
Karaszewski is a Polish surname most notably associated with American screenwriter and producer Larry Karaszewski, known for his biographical and offbeat film scripts.
-
C.
Kaczmarek
Kaczmarek is a Polish surname borne by various notable individuals in fields such as acting, music, and sports.
-
D.
Krasicki
Krasicki is a Polish surname most famously borne by Ignacy Krasicki, an 18th-century poet, satirist, and bishop often called the "Prince of Polish Poets."
-
E.
Krakowski
Krakowski is a Polish surname most notably borne by American actress and singer Jane Krakowski, known for her roles in television, film, and theater.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded64a2f24819099b21566756668a2 |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e929f3881908560b8428e72327d |
completed | May 9, 2026, 12:23 a.m. |
Created at: April 10, 2026, 2:38 a.m.