Triple
T7681320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zülfü Livaneli |
E173999
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Zülfü Livaneli |
E173999
|
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: Zülfü Livaneli | Statement: [Zülfü Livaneli, name, Zülfü Livaneli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zülfü Livaneli Context triple: [Zülfü Livaneli, name, Zülfü Livaneli]
-
A.
Zülfü Livaneli
chosen
Zülfü Livaneli is a prominent Turkish novelist, musician, and political figure known for his influential contributions to contemporary Turkish culture and literature.
-
B.
Niyazi Akdaş
Niyazi Akdaş is a Turkish football executive best known for serving as chairman of the Ankara-based club Gençlerbirliği S.K.
-
C.
Fazıl Aysu
Fazıl Aysu was a Turkish architect best known for designing Istanbul’s historic BJK İnönü Stadium, home of the Beşiktaş football club.
-
D.
Feride Karaca
Feride Karaca is known as the wife of legendary Turkish rock musician and political activist Cem Karaca.
-
E.
Zehra Zümrüt
Zehra Zümrüt is a Turkish politician best known for serving as Turkey’s Minister of Family, Labour and Social Services.
- 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_69c6995840408190a19de6c51090f46f |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70201387c8190afc8479b5a9e21e8 |
completed | March 27, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8a24de3a48190a92009b6092b09d0 |
completed | March 29, 2026, 3:53 a.m. |
Created at: March 27, 2026, 4:01 p.m.