Triple
T13295172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Özgür Özel |
E316661
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Özgür Özel |
E316661
|
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: Özgür Özel | Statement: [Özgür Özel, name, Özgür Özel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Özgür Özel Context triple: [Özgür Özel, name, Özgür Özel]
-
A.
Özgür Özel
chosen
Özgür Özel is a Turkish politician who serves as the leader of the main opposition Republican People's Party (CHP).
-
B.
Mehmet Selçuk
Mehmet Selçuk is a Turkish professional footballer known for playing as a midfielder in Turkey’s top leagues.
-
C.
Bülent Korkmaz
Bülent Korkmaz is a former Turkish central defender best known as a one-club legend and long-time captain of Galatasaray, with whom he won numerous domestic titles and the 2000 UEFA Cup.
-
D.
Tarık Akan
Tarık Akan was a prominent Turkish film actor and producer known for his leading roles in 1970s–80s Turkish cinema and his later work in socially conscious films.
-
E.
Ahmed Ağaoğlu
Ahmed Ağaoğlu was a prominent late Ottoman and early Republican Turkish-Azerbaijani intellectual, journalist, and politician known for his advocacy of modernization, nationalism, and liberal reforms.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99079c8508190b6208db9affcbc0e |
completed | April 11, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f74610b2c481909497296e999226e8 |
completed | May 3, 2026, 12:56 p.m. |
Created at: April 9, 2026, 9:28 p.m.