Triple
T10393899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Göran |
E244957
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Goran
Goran is a masculine given name commonly used in various Slavic countries.
|
E859330
|
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: Goran | Statement: [Göran, hasVariant, Goran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goran Context triple: [Göran, hasVariant, Goran]
-
A.
Vlatko
Vlatko is a masculine given name commonly used in Slavic countries, particularly in North Macedonia and other parts of 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.
Ilija
Ilija is a masculine given name of Slavic origin, commonly used in countries such as Bulgaria, Serbia, and North Macedonia.
-
D.
Saša
Saša is a given name commonly used in Slavic countries, often as a diminutive of Aleksandar or Aleksandra.
-
E.
Marko Ramius
Marko Ramius is a highly skilled Soviet submarine captain who masterminds a risky defection to the West in Tom Clancy’s techno-thriller "The Hunt for Red October."
- 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: Goran Triple: [Göran, hasVariant, Goran]
Generated description
Goran is a masculine given name commonly used in various Slavic countries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Goran Target entity description: Goran is a masculine given name commonly used in various Slavic countries.
-
A.
Vlatko
Vlatko is a masculine given name commonly used in Slavic countries, particularly in North Macedonia and other parts of 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.
Ilija
Ilija is a masculine given name of Slavic origin, commonly used in countries such as Bulgaria, Serbia, and North Macedonia.
-
D.
Saša
Saša is a given name commonly used in Slavic countries, often as a diminutive of Aleksandar or Aleksandra.
-
E.
Marko Ramius
Marko Ramius is a highly skilled Soviet submarine captain who masterminds a risky defection to the West in Tom Clancy’s techno-thriller "The Hunt for Red October."
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9b795fc8190aa50ce3c7360ff83 |
completed | April 7, 2026, 11:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d795c8271c81908a6b67822050c06d |
completed | April 9, 2026, 12:04 p.m. |
| NEDg | Description generation | batch_69d7975191ac8190b32eb6cc1f5c88aa |
completed | April 9, 2026, 12:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d798655c7c8190a5da5ef976102285 |
completed | April 9, 2026, 12:15 p.m. |
Created at: April 6, 2026, 12:06 p.m.