Triple
T18834743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kerem Bürsin |
E460630
|
entity |
| Predicate | instagramUsername |
P3718
|
FINISHED |
| Object |
thebursin
thebursin is the Instagram username of Turkish actor and model Kerem Bürsin, known for his roles in popular Turkish television series and films.
|
E1345927
|
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: thebursin | Statement: [Kerem Bürsin, instagramUsername, thebursin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: thebursin Context triple: [Kerem Bürsin, instagramUsername, thebursin]
-
A.
Bursinel
Bursinel is a small Swiss municipality in the canton of Vaud, known for its scenic location above Lake Geneva and its surrounding vineyards.
-
B.
Bursins
Bursins is a small wine-producing municipality in the canton of Vaud in western Switzerland, situated above Lake Geneva.
-
C.
Butsuden
Butsuden is the main Buddha hall of Kenchō-ji, a prominent Zen Buddhist temple in Kamakura, Japan, housing its principal sacred images.
-
D.
Bursa mint
Bursa mint was a key provincial coin-producing facility of the Ottoman Empire located in the city of Bursa.
-
E.
Bisharin
Bisharin are a subgroup of the Beja people, traditionally semi-nomadic pastoralists inhabiting parts of northeastern Sudan and southern Egypt.
- 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: thebursin Triple: [Kerem Bürsin, instagramUsername, thebursin]
Generated description
thebursin is the Instagram username of Turkish actor and model Kerem Bürsin, known for his roles in popular Turkish television series and films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: thebursin Target entity description: thebursin is the Instagram username of Turkish actor and model Kerem Bürsin, known for his roles in popular Turkish television series and films.
-
A.
Bursinel
Bursinel is a small Swiss municipality in the canton of Vaud, known for its scenic location above Lake Geneva and its surrounding vineyards.
-
B.
Bursins
Bursins is a small wine-producing municipality in the canton of Vaud in western Switzerland, situated above Lake Geneva.
-
C.
Butsuden
Butsuden is the main Buddha hall of Kenchō-ji, a prominent Zen Buddhist temple in Kamakura, Japan, housing its principal sacred images.
-
D.
Bursa mint
Bursa mint was a key provincial coin-producing facility of the Ottoman Empire located in the city of Bursa.
-
E.
Bisharin
Bisharin are a subgroup of the Beja people, traditionally semi-nomadic pastoralists inhabiting parts of northeastern Sudan and southern Egypt.
- 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a99c1394819095c62eef040e552c |
completed | April 20, 2026, 4:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05676957848190bbc1998f4e36d11e |
completed | May 14, 2026, 6:10 a.m. |
| NEDg | Description generation | batch_6a056984d9d88190ab457cef689a5159 |
completed | May 14, 2026, 6:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0569fd03f081908d217efa260f8938 |
completed | May 14, 2026, 6:21 a.m. |
Created at: April 10, 2026, 11:56 a.m.