Triple
T14767191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rade Šerbedžija |
E347026
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Šerbedžija
Šerbedžija is a South Slavic surname most prominently associated with Croatian-Serbian actor and director Rade Šerbedžija.
|
E1119134
|
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: Šerbedžija | Statement: [Rade Šerbedžija, familyName, Šerbedžija]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Šerbedžija Context triple: [Rade Šerbedžija, familyName, Šerbedžija]
-
A.
Sandžak
Sandžak is a historically contested region in the western Balkans, straddling modern-day Serbia and Montenegro, known for its significant Bosniak population and multicultural heritage.
-
B.
Midžor
Midžor is a prominent mountain peak in the Balkan range on the Serbia–Bulgaria border, known for its scenic alpine landscapes and popularity among hikers.
-
C.
Bileća
Bileća is a small town and municipality in southeastern Bosnia and Herzegovina, known for its nearby artificial lake and karst landscape.
-
D.
Terazije
Terazije is a central and historic square in Belgrade, Serbia, known as a major commercial, cultural, and transport hub of the city.
-
E.
Čukarica
Čukarica is a municipality of Belgrade known for its mix of urban neighborhoods, industrial zones, and green areas along the Sava River.
- 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: Šerbedžija Triple: [Rade Šerbedžija, familyName, Šerbedžija]
Generated description
Šerbedžija is a South Slavic surname most prominently associated with Croatian-Serbian actor and director Rade Šerbedžija.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Šerbedžija Target entity description: Šerbedžija is a South Slavic surname most prominently associated with Croatian-Serbian actor and director Rade Šerbedžija.
-
A.
Sandžak
Sandžak is a historically contested region in the western Balkans, straddling modern-day Serbia and Montenegro, known for its significant Bosniak population and multicultural heritage.
-
B.
Midžor
Midžor is a prominent mountain peak in the Balkan range on the Serbia–Bulgaria border, known for its scenic alpine landscapes and popularity among hikers.
-
C.
Bileća
Bileća is a small town and municipality in southeastern Bosnia and Herzegovina, known for its nearby artificial lake and karst landscape.
-
D.
Terazije
Terazije is a central and historic square in Belgrade, Serbia, known as a major commercial, cultural, and transport hub of the city.
-
E.
Čukarica
Čukarica is a municipality of Belgrade known for its mix of urban neighborhoods, industrial zones, and green areas along the Sava River.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec81236f081908063bb4350b7b985 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cf68d94819093567bc630f67b60 |
completed | May 8, 2026, 4:19 p.m. |
| NEDg | Description generation | batch_69fe1b0056988190b14560470428d895 |
completed | May 8, 2026, 5:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe1b97e8148190b23a555b9f2c7f1f |
completed | May 8, 2026, 5:21 p.m. |
Created at: April 10, 2026, 1:30 a.m.