Triple
T19346747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tihomir Orešković |
E483898
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Tihomir
Tihomir is a masculine given name of Slavic origin, commonly used in several countries of the Balkans.
|
E1370957
|
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: Tihomir | Statement: [Tihomir Orešković, givenName, Tihomir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tihomir Context triple: [Tihomir Orešković, givenName, Tihomir]
-
A.
Chudomir
Chudomir was a renowned Bulgarian writer, humorist, and painter known for his satirical short stories and vivid depictions of rural life.
-
B.
Tivadar
Tivadar is a Hungarian masculine given name, equivalent to Theodore, historically borne by several notable Hungarian figures.
-
C.
Radomir
Radomir is a town in western Bulgaria known for its location in the Pernik Province and its proximity to the Struma River and the capital, Sofia.
-
D.
Dragomir
Dragomir is a Swedish actor and former criminal best known internationally for his role in the film "Easy Money" and appearances in action movies and TV series.
-
E.
Bleda
Bleda was a 5th-century Hun ruler, best known as the brother and co-king of Attila before being killed under disputed circumstances.
- 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: Tihomir Triple: [Tihomir Orešković, givenName, Tihomir]
Generated description
Tihomir is a masculine given name of Slavic origin, commonly used in several countries of the Balkans.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tihomir Target entity description: Tihomir is a masculine given name of Slavic origin, commonly used in several countries of the Balkans.
-
A.
Chudomir
Chudomir was a renowned Bulgarian writer, humorist, and painter known for his satirical short stories and vivid depictions of rural life.
-
B.
Tivadar
Tivadar is a Hungarian masculine given name, equivalent to Theodore, historically borne by several notable Hungarian figures.
-
C.
Radomir
Radomir is a town in western Bulgaria known for its location in the Pernik Province and its proximity to the Struma River and the capital, Sofia.
-
D.
Dragomir
Dragomir is a Swedish actor and former criminal best known internationally for his role in the film "Easy Money" and appearances in action movies and TV series.
-
E.
Bleda
Bleda was a 5th-century Hun ruler, best known as the brother and co-king of Attila before being killed under disputed circumstances.
- 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e6185b7d348190ba195056bb32c765 |
completed | April 20, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a071bed1c608190a71094aa2645199d |
completed | May 15, 2026, 1:13 p.m. |
| NEDg | Description generation | batch_6a071cc1c76c8190b99ef2b319f6ab39 |
completed | May 15, 2026, 1:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a071d787dd881908d86c5fe52ca2561 |
completed | May 15, 2026, 1:19 p.m. |
Created at: April 10, 2026, 1:34 p.m.