Triple
T11273794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dražan Jerković |
E266878
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Dražan
Dražan is a masculine given name most notably borne by Croatian footballer and manager Dražan Jerković.
|
E916279
|
NE FINISHED |
How this triple was built (4 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: Dražan | Statement: [Dražan Jerković, givenName, Dražan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dražan Context triple: [Dražan Jerković, givenName, Dražan]
-
A.
Branko
Branko is a masculine given name commonly used in Slavic countries, particularly in the Balkans.
-
B.
Danijel
Danijel is the central male protagonist in the war drama film "In the Land of Blood and Honey," which explores a complex relationship set against the backdrop of the Bosnian War.
-
C.
Vlatko
Vlatko is a masculine given name commonly used in Slavic countries, particularly in North Macedonia and other parts of the Balkans.
-
D.
Kardelj
Kardelj is a Slovene surname most prominently associated with Edvard Kardelj, a leading Yugoslav communist theorist and politician.
-
E.
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.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dražan Triple: [Dražan Jerković, givenName, Dražan]
Generated description
Dražan is a masculine given name most notably borne by Croatian footballer and manager Dražan Jerković.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dražan Target entity description: Dražan is a masculine given name most notably borne by Croatian footballer and manager Dražan Jerković.
-
A.
Branko
Branko is a masculine given name commonly used in Slavic countries, particularly in the Balkans.
-
B.
Danijel
Danijel is the central male protagonist in the war drama film "In the Land of Blood and Honey," which explores a complex relationship set against the backdrop of the Bosnian War.
-
C.
Vlatko
Vlatko is a masculine given name commonly used in Slavic countries, particularly in North Macedonia and other parts of the Balkans.
-
D.
Kardelj
Kardelj is a Slovene surname most prominently associated with Edvard Kardelj, a leading Yugoslav communist theorist and politician.
-
E.
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.
- F. None of above. chosen
Provenance (5 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_69d6aac8c2f48190ad0596f1f89f0470 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e965c9048190804ebb48f0a4817b |
completed | April 9, 2026, 6:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4f445792c8190962d94aa71f328d9 |
completed | April 19, 2026, 3:27 p.m. |
| NEDg | Description generation | batch_69e4f9596e1081908e7b319f77453438 |
completed | April 19, 2026, 3:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4ff5881b8819080f9662a0c2d486d |
completed | April 19, 2026, 4:14 p.m. |
Created at: April 8, 2026, 9:31 p.m.