Triple
T11065511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahmud Pasha Angelović |
E261612
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Angelović
Angelović is a South Slavic surname historically associated with the influential Ottoman statesman Mahmud Pasha Angelović.
|
E903150
|
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: Angelović | Statement: [Mahmud Pasha Angelović, familyName, Angelović]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angelović Context triple: [Mahmud Pasha Angelović, familyName, Angelović]
-
A.
Medaković
Medaković is a residential neighborhood in Belgrade, Serbia, known for its large apartment blocks and location within the municipality of Voždovac.
-
B.
Vujović
Vujović is a South Slavic surname of Montenegrin and Serbian origin, borne by various notable figures in the Balkans and beyond.
-
C.
Rajaković
Rajaković is a Serbian surname most notably associated with NBA coach Darko Rajaković.
-
D.
Danko Lazović
Danko Lazović is a Serbian former professional footballer known as a forward who played for clubs across Europe and Asia and earned caps for the Serbian national team.
-
E.
Jordjevic Aleksandar
Jordjevic Aleksandar is a Serbian professional basketball coach and former player, known for leading top European clubs and national teams and for his tactical acumen on the international stage.
- 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: Angelović Triple: [Mahmud Pasha Angelović, familyName, Angelović]
Generated description
Angelović is a South Slavic surname historically associated with the influential Ottoman statesman Mahmud Pasha Angelović.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Angelović Target entity description: Angelović is a South Slavic surname historically associated with the influential Ottoman statesman Mahmud Pasha Angelović.
-
A.
Medaković
Medaković is a residential neighborhood in Belgrade, Serbia, known for its large apartment blocks and location within the municipality of Voždovac.
-
B.
Vujović
Vujović is a South Slavic surname of Montenegrin and Serbian origin, borne by various notable figures in the Balkans and beyond.
-
C.
Rajaković
Rajaković is a Serbian surname most notably associated with NBA coach Darko Rajaković.
-
D.
Danko Lazović
Danko Lazović is a Serbian former professional footballer known as a forward who played for clubs across Europe and Asia and earned caps for the Serbian national team.
-
E.
Jordjevic Aleksandar
Jordjevic Aleksandar is a Serbian professional basketball coach and former player, known for leading top European clubs and national teams and for his tactical acumen on the international stage.
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7991f84488190a974d1744a62798d |
completed | April 9, 2026, 12:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3c8977f98819082dec025e92782da |
completed | April 18, 2026, 6:08 p.m. |
| NEDg | Description generation | batch_69e3cae07b648190b4c0d2514712d6bd |
completed | April 18, 2026, 6:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3cf1f508c81909b4ca8131b7fc9ee |
completed | April 18, 2026, 6:36 p.m. |
Created at: April 8, 2026, 9:26 p.m.