Triple
T8962719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aleksander Skrzyński |
E214047
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Aleksander |
E56933
|
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: Aleksander | Statement: [Aleksander Skrzyński, givenName, Aleksander]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aleksander Context triple: [Aleksander Skrzyński, givenName, Aleksander]
-
A.
Aleksander
chosen
Aleksander is a given name, commonly used in Slavic and Scandinavian countries, that corresponds to the name Alexander.
-
B.
Aleksandr
Aleksandr is a common Russian male given name of Greek origin, equivalent to Alexander in English.
-
C.
Alexander Dam
Alexander Dam is a hydroelectric power facility located on the Nipigon River in Ontario, Canada.
-
D.
Alexander Graven
Alexander Graven was a Swiss mountaineer known for participating in the historic 1956 Swiss expedition that successfully climbed Mount Everest and Lhotse.
-
E.
Nikolai
Nikolai is a recurring Russian ally and pilot in the Call of Duty: Modern Warfare series, known for assisting the main protagonists with transport and intelligence.
- 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_69ca839cd6008190a1546a701a56710c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6749e5008190a01f42a2e772dd54 |
completed | April 1, 2026, 12:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc94e088881909506b229d1fff44a |
completed | April 3, 2026, 2:06 p.m. |
Created at: March 30, 2026, 7:01 p.m.