Triple
T19779949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mateusz |
E475103
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Mateja |
—
|
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: Mateja | Statement: [Mateusz, hasVariant, Mateja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mateja Context triple: [Mateusz, hasVariant, Mateja]
-
A.
Matija
Matija is a South Slavic given name, equivalent to the English name Matthew.
-
B.
Matej
chosen
Matej is a masculine given name commonly used in Slavic countries, equivalent to Matthew in English.
-
C.
Matasović
Matasović is a South Slavic surname, notably borne by Croatian linguist and Indo-Europeanist Ranko Matasović.
-
D.
Mladen
Mladen is the original given name of American actor Karl Malden, known for his Academy Award–winning role in "A Streetcar Named Desire" and his work in film and television.
-
E.
Miljan
Miljan is a surname most notably borne by American film actor John Miljan, who appeared in numerous Hollywood productions from the silent era through the 1950s.
- 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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65382ff308190832800dd60675f7a |
completed | April 20, 2026, 4:25 p.m. |
Created at: April 10, 2026, 1:49 p.m.