Triple
T23299925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boyan |
E590273
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Bojan
Bojan is a masculine given name commonly used in Slavic countries, particularly in the Balkans and Central Europe.
|
E199376
|
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: Bojan | Statement: [Boyan, hasVariant, Bojan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bojan Context triple: [Boyan, hasVariant, Bojan]
-
A.
Borjan
Borjan is a surname most notably borne by Milan Borjan, a Canadian professional soccer goalkeeper.
-
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.
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.
Bojan Bazelli
Bojan Bazelli is a renowned cinematographer known for his visually striking and atmospheric work on films such as "Spectral," "A Cure for Wellness," and collaborations with directors like Gore Verbinski.
-
E.
Miljan
Miljan is a surname most notably borne by American film actor John Miljan, who appeared in numerous Hollywood productions from the silent era through the 1950s.
- 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: Bojan Triple: [Boyan, hasVariant, Bojan]
Generated description
Bojan is a masculine given name commonly used in Slavic countries, particularly in the Balkans and Central Europe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bojan Target entity description: Bojan is a masculine given name commonly used in Slavic countries, particularly in the Balkans and Central Europe.
-
A.
Borjan
Borjan is a surname most notably borne by Milan Borjan, a Canadian professional soccer goalkeeper.
-
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.
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.
Bojan Bazelli
chosen
Bojan Bazelli is a renowned cinematographer known for his visually striking and atmospheric work on films such as "Spectral," "A Cure for Wellness," and collaborations with directors like Gore Verbinski.
-
E.
Miljan
Miljan is a surname most notably borne by American film actor John Miljan, who appeared in numerous Hollywood productions from the silent era through the 1950s.
- F. None of above.
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_69e25d1c0ecc8190a355aa229f06d0e0 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196d2b5dc819084b4d0290184de62 |
completed | April 29, 2026, 5:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c4c950f30819090432d04c6abf51d |
completed | May 19, 2026, 11:42 a.m. |
| NEDg | Description generation | batch_6a0c4ef9dcc48190b0c0ca52555f5490 |
completed | May 19, 2026, 11:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c506b25ec819084b9522fa827abe7 |
completed | May 19, 2026, 11:58 a.m. |
Created at: April 17, 2026, 5:04 p.m.