Triple
T18990772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miloš Obrenović |
E464675
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Miloš |
—
|
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: Miloš | Statement: [Miloš Obrenović, givenName, Miloš]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miloš Context triple: [Miloš Obrenović, givenName, Miloš]
-
A.
Miloš
chosen
Miloš is a masculine given name of Slavic origin, commonly used in countries such as Serbia, the Czech Republic, and Slovakia.
-
B.
Miloš Teodosić
Miloš Teodosić is a Serbian professional basketball player renowned as one of Europe's premier playmaking point guards, celebrated for his exceptional court vision and passing creativity.
-
C.
Miloš Vele
Miloš Vele is a Czech politician who serves as the mayor of the city of Jablonec nad Nisou.
-
D.
Miloš Marić
Miloš Marić was the brother of Serbian physicist Mileva Marić, who was Albert Einstein’s first wife and scientific collaborator.
-
E.
Miloje Petrović Trnina
Miloje Petrović Trnina was a Serbian military leader noted for his role in the early battles of the First Serbian Uprising against Ottoman rule.
- 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_69d8dd01a56c81909694a128c66b21d7 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6632cb08190a28f6ab74c2156d8 |
completed | April 20, 2026, 7:31 a.m. |
Created at: April 10, 2026, 12:01 p.m.