Triple
T22669058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jovanka |
E559871
|
entity |
| Predicate | derivesFrom |
P909
|
FINISHED |
| Object | Jovan |
—
|
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: Jovan | Statement: [Jovanka, derivesFrom, Jovan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jovan Context triple: [Jovanka, derivesFrom, Jovan]
-
A.
Jovan
chosen
Jovan is a masculine given name commonly used in South Slavic regions, equivalent to "John" in English.
-
B.
Aleksandar
Aleksandar is a masculine given name commonly used in Slavic countries, equivalent to Alexander.
-
C.
Momir
Momir is a masculine given name of Slavic origin, commonly used in countries such as Serbia and Montenegro.
-
D.
Dragoljub
Dragoljub is a masculine given name of Slavic origin, commonly used in Serbia and other South Slavic countries.
-
E.
Branislav
Branislav is a Slavic male given name, common in Central and Eastern Europe, typically interpreted to mean "glorious defender" or "protector of glory."
- 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_69e2454a158c819093b8e35f5045efb6 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1781de1d48190947cb1bb9d0890d9 |
completed | April 29, 2026, 3:16 a.m. |
Created at: April 17, 2026, 3:09 p.m.