Triple
T23022329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Željko Obradović |
E573200
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Željko |
—
|
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: Željko | Statement: [Željko Obradović, givenName, Željko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Željko Context triple: [Željko Obradović, givenName, Željko]
-
A.
Željko
chosen
Željko is a masculine given name of South Slavic origin, commonly used in countries such as Croatia and Slovenia.
-
B.
Zlatko
Zlatko is a masculine given name commonly used in Slavic countries, particularly in Croatia and other South Slavic regions.
-
C.
Žarko
Žarko is a South Slavic masculine given name commonly used in countries such as Serbia, Montenegro, and Croatia.
-
D.
Ojdanić
Ojdanić is a Serbian surname most notably associated with Dragoljub Ojdanić, a former Yugoslav Army general and political figure.
-
E.
Mladen Dolar
Mladen Dolar is a Slovenian philosopher and cultural theorist known for his work in Lacanian psychoanalysis, critical theory, and the philosophy of the voice.
- 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_69e245b821008190b0e09cb02092aae1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f183ea23088190b2f42d9bf01514ac |
completed | April 29, 2026, 4:07 a.m. |
Created at: April 17, 2026, 3:52 p.m.