Triple
T3723939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oyunlarla Yaşayanlar |
E81702
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Oğuz Atay |
E81702
|
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: Oğuz Atay | Statement: [Oyunlarla Yaşayanlar, author, Oğuz Atay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oğuz Atay Context triple: [Oyunlarla Yaşayanlar, author, Oğuz Atay]
-
A.
Oğuz Atay
chosen
Oğuz Atay was a pioneering Turkish novelist and short story writer, best known for his influential modernist work "Tutunamayanlar" ("The Disconnected").
-
B.
Tahsin Özgüç
Tahsin Özgüç was a prominent Turkish archaeologist renowned for his pioneering research on ancient Anatolian civilizations.
-
C.
Niyazi Akdaş
Niyazi Akdaş is a Turkish football executive best known for serving as chairman of the Ankara-based club Gençlerbirliği S.K.
-
D.
Uğur Dündar
Uğur Dündar is a prominent Turkish investigative journalist and television presenter known for his hard-hitting news programs and exposés on corruption.
-
E.
Hidayet Karaca
Hidayet Karaca is a Turkish media executive best known as the former head of the Samanyolu Broadcasting Group and a prominent figure associated with the Gülen movement.
- 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_69ad8b1b7ef081908d2d381bbf54985a |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcaf3f2ec8190a3a8f363cfb762f3 |
completed | March 8, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4fb074a9881909afec640a5a208c6 |
completed | March 14, 2026, 6:07 a.m. |
Created at: March 8, 2026, 3:34 p.m.