Triple
T23049275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krešimir Ćosić |
E573962
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Ćosić |
—
|
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: Ćosić | Statement: [Krešimir Ćosić, familyName, Ćosić]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ćosić Context triple: [Krešimir Ćosić, familyName, Ćosić]
-
A.
Ćosić
chosen
Ćosić is a South Slavic surname, notably borne by legendary Croatian basketball player Krešimir Ćosić.
-
B.
Kornić
Kornić is a small coastal village on the Croatian island of Krk, known for its traditional stone architecture and views over the Bay of Punat.
-
C.
Konjšica
Konjšica is a small settlement in central Slovenia, notable as the place where renowned conductor Carlos Kleiber died.
-
D.
Kocian
Kocian is a surname most notably associated with American artistic gymnast Madison Kocian, an Olympic and world champion.
-
E.
Koshice
Košice is the second-largest city in Slovakia, known for its well-preserved medieval old town and status as an important cultural and economic center in the country.
- 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_69e245b9c11481909d06c872214d21af |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1867b800881909fabf9dca994c9e7 |
completed | April 29, 2026, 4:18 a.m. |
Created at: April 17, 2026, 3:54 p.m.