Triple
T19968820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louis Dudek |
E480014
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Dudek |
—
|
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: Dudek | Statement: [Louis Dudek, familyName, Dudek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dudek Context triple: [Louis Dudek, familyName, Dudek]
-
A.
Dudek
chosen
Dudek is a Polish surname borne by various notable individuals, including figures in sports, arts, and public life.
-
B.
Pudlowski
Pudlowski is the birth surname of American actress and author Marilu Henner.
-
C.
Dybinski
Dybinski is a surname of likely Slavic origin borne by individuals such as Dauber Dybinski.
-
D.
Davidek
Davidek is a diminutive or variant form of the given name Davide, commonly used in certain European languages as an affectionate or informal version of the name.
-
E.
Dubanowski
Dubanowski is the surname of Amy Dubanowski, a character from the television series "Superstore."
- 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65bc7c2fc81909b89c549a5f99e4c |
completed | April 20, 2026, 5 p.m. |
Created at: April 10, 2026, 1:54 p.m.