Triple
T7957447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uğur Dündar |
E184774
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Sözcü TV |
E654078
|
NE FINISHED |
How this triple was built (2 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: Sözcü TV | Statement: [Uğur Dündar, employer, Sözcü TV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sözcü TV Context triple: [Uğur Dündar, employer, Sözcü TV]
-
A.
Mashriq TV
Mashriq TV is a Pashto-language television channel known for broadcasting news, current affairs, and cultural programming to Pashto-speaking audiences.
-
B.
CNN Türk
CNN Türk is a major Turkish television news channel that provides 24-hour national and international news coverage.
-
C.
NTV
NTV is a major Japanese commercial television network known for its wide range of news, entertainment, and sports programming.
-
D.
NTV
chosen
NTV is a Turkish television news channel known for its 24-hour news coverage and influential role in Turkey’s media landscape.
-
E.
Wasafi TV
Wasafi TV is a Tanzanian entertainment television channel closely associated with musician and entrepreneur Diamond Platnumz, known for music, lifestyle, and pop culture programming.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca8293a2388190aace944d7ed9c0c0 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b7ebb24819094bc011d51ef63fb |
completed | March 31, 2026, 3:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe072ef4c8190a8e078c5280913db |
completed | March 31, 2026, 2:55 p.m. |
Created at: March 30, 2026, 5:11 p.m.