Triple
T14951455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saša Dončić |
E372802
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Saša |
E204369
|
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: Saša | Statement: [Saša Dončić, givenName, Saša]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saša Context triple: [Saša Dončić, givenName, Saša]
-
A.
Saša
chosen
Saša is a given name commonly used in Slavic countries, often as a diminutive of Aleksandar or Aleksandra.
-
B.
Duško
Duško is the given name of Duško Tadić, a Bosnian Serb who became known as the first person tried by the International Criminal Tribunal for the former Yugoslavia for war crimes committed during the Bosnian War.
-
C.
Petar
Petar is a given name commonly used in Slavic countries, equivalent to the English name Peter.
-
D.
Ilija
Ilija is a masculine given name of Slavic origin, commonly used in countries such as Bulgaria, Serbia, and North Macedonia.
-
E.
Predrag
Predrag is the given first name of former Serbian professional basketball player Peja Stojaković.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded690f2e08190ad9dad6dc05a164a |
completed | April 15, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e9a6098819087b6e81bebcf6805 |
completed | May 9, 2026, 12:23 a.m. |
Created at: April 10, 2026, 2:39 a.m.