Triple
T13617286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Popławski |
E325349
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Poplawski |
E325349
|
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: Poplawski | Statement: [Popławski, hasVariant, Poplawski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Poplawski Context triple: [Popławski, hasVariant, Poplawski]
-
A.
Popławski
chosen
Popławski is a Polish surname commonly borne by individuals of Polish origin.
-
B.
Marchlewski
Marchlewski is a Polish surname most notably associated with Julian Marchlewski, a prominent Marxist theorist and politician.
-
C.
Palicki
Palicki is a surname most notably associated with American actress Adrianne Palicki, known for her roles in television and film.
-
D.
Pollak
Pollak is a surname most notably associated with American actor and comedian Kevin Pollak.
-
E.
Wolski
Wolski is a Polish surname borne by various notable individuals in fields such as film, sports, and academia.
- 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0ae77e0819081e3b14642460dc6 |
completed | April 12, 2026, 2:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77fa0b81c819094e2fa209ef9857c |
completed | May 3, 2026, 5:02 p.m. |
Created at: April 9, 2026, 9:50 p.m.