Triple
T19965763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zlatko Mateša |
E479928
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Zlatko Mateša |
—
|
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: Zlatko Mateša | Statement: [Zlatko Mateša, name, Zlatko Mateša]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zlatko Mateša Context triple: [Zlatko Mateša, name, Zlatko Mateša]
-
A.
Zlatko Mateša
chosen
Zlatko Mateša is a Croatian politician who served as the country's Prime Minister in the mid-1990s.
-
B.
Zlatko Grgić
Zlatko Grgić was a Croatian animator and film director best known for his influential work in animated films produced by the Zagreb Film studio.
-
C.
Svetozar Marović
Svetozar Marović is a Montenegrin politician who served as the final head of state of the former Serbia and Montenegro union before its dissolution.
-
D.
Nebojša Pavković
Nebojša Pavković is a former Yugoslav and Serbian general best known for commanding Yugoslav Army forces during the Kosovo War and later facing war crimes charges related to the conflict.
-
E.
Bora Milutinović
Bora Milutinović is a Serbian football coach renowned for leading five different national teams at five consecutive FIFA World Cups, often achieving surprising success with underdog sides.
- 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65bc4f47c8190a721f5e488150d81 |
completed | April 20, 2026, 5 p.m. |
Created at: April 10, 2026, 1:54 p.m.