Triple
T9110993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cars 2 |
E218598
|
entity |
| Predicate | voiceCastMember |
P9616
|
FINISHED |
| Object |
Velibor Topic
Velibor Topić is a Bosnian-British actor known for his character roles in film and television, including voice work in the animated movie "Cars 2."
|
E779034
|
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: Velibor Topic | Statement: [Cars 2, voiceCastMember, Velibor Topic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Velibor Topic Context triple: [Cars 2, voiceCastMember, Velibor Topic]
-
A.
Vladimir Ružić
Vladimir Ružić is a person bearing the Croatian surname Ružić, likely of Croatian or broader South Slavic origin.
-
B.
Vlatko
Vlatko is a masculine given name commonly used in Slavic countries, particularly in North Macedonia and other parts of the Balkans.
-
C.
Tihomir Orešković
Tihomir Orešković is a Croatian-Canadian businessman and politician who served as Croatia’s prime minister in 2016, leading a technocratic government.
-
D.
Andrija Tokic
Andrija Tokic is a Nashville-based record producer and engineer known for his work on acclaimed roots, rock, and Americana albums.
-
E.
Milan M. Ćirković
Milan M. Ćirković is a Serbian astronomer and philosopher of science known for his work on astrobiology, the Fermi paradox, and global catastrophic risk studies.
- 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: Velibor Topic Triple: [Cars 2, voiceCastMember, Velibor Topic]
Generated description
Velibor Topić is a Bosnian-British actor known for his character roles in film and television, including voice work in the animated movie "Cars 2."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Velibor Topic Target entity description: Velibor Topić is a Bosnian-British actor known for his character roles in film and television, including voice work in the animated movie "Cars 2."
-
A.
Vladimir Ružić
Vladimir Ružić is a person bearing the Croatian surname Ružić, likely of Croatian or broader South Slavic origin.
-
B.
Vlatko
Vlatko is a masculine given name commonly used in Slavic countries, particularly in North Macedonia and other parts of the Balkans.
-
C.
Tihomir Orešković
Tihomir Orešković is a Croatian-Canadian businessman and politician who served as Croatia’s prime minister in 2016, leading a technocratic government.
-
D.
Andrija Tokic
Andrija Tokic is a Nashville-based record producer and engineer known for his work on acclaimed roots, rock, and Americana albums.
-
E.
Milan M. Ćirković
Milan M. Ćirković is a Serbian astronomer and philosopher of science known for his work on astrobiology, the Fermi paradox, and global catastrophic risk studies.
- 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_69ca83dc94ac8190b9ef42684d36ff39 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca847102881908f9d86ce9883fb1a |
completed | April 1, 2026, 5:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d030467b188190a6d99bf2fc65207d |
completed | April 3, 2026, 9:25 p.m. |
| NEDg | Description generation | batch_69d0316f47c88190920843b469d15069 |
completed | April 3, 2026, 9:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d032778adc8190a087497507a6e1ca |
completed | April 3, 2026, 9:34 p.m. |
Created at: March 30, 2026, 7:16 p.m.