Triple
T16199598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nenad Vučinić |
E393161
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Nenad |
E393161
|
NE FINISHED |
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: Nenad | Statement: [Nenad Vučinić, givenName, Nenad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nenad Context triple: [Nenad Vučinić, givenName, Nenad]
-
A.
Nenad Medvidović
Nenad Medvidović is a prominent computer scientist known for his influential work in software architecture and software engineering research.
-
B.
Nenad Vučinić
chosen
Nenad Vučinić is a Serbian-New Zealand basketball coach and former player best known for leading New Zealand’s national team and coaching at high levels in international and club basketball.
-
C.
Pasko Rakic
Pasko Rakic is a renowned neuroscientist best known for his pioneering work on the development and organization of the cerebral cortex.
-
D.
Petar Nedeljković
Petar Nedeljković was a Yugoslav military officer who served as a commander in the Royal Yugoslav Army during the German invasion of Yugoslavia in World War II.
-
E.
Marko Pjaca
Marko Pjaca is a Croatian professional footballer known for playing as a winger and representing Croatia at major international tournaments.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e222de2db481908471b9c73d444607 |
completed | April 17, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ecf454081909660f4ab9c556ddc |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 5:03 a.m.