Triple
T16214920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berk |
E393562
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | İlhan Berk |
E93485
|
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: İlhan Berk | Statement: [Berk, hasNotableBearer, İlhan Berk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: İlhan Berk Context triple: [Berk, hasNotableBearer, İlhan Berk]
-
A.
İlhan Berk
chosen
İlhan Berk was a prominent 20th-century Turkish poet known for his modernist, experimental style and influential contributions to contemporary Turkish literature.
-
B.
Süreyya İlmen
Süreyya İlmen was a prominent Turkish politician and philanthropist known for his contributions to Istanbul’s cultural life, including the establishment of the Süreyya Opera House.
-
C.
Melih Gökçek
Melih Gökçek is a Turkish politician best known for his long tenure as the mayor of Ankara and his prominent role in conservative Islamist politics.
-
D.
Münevver Andaç
Münevver Andaç was the wife of renowned Turkish poet Nâzım Hikmet and is remembered as one of his significant romantic partners and muses.
-
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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e227f4685c8190aa1e9304e4a62d13 |
completed | April 17, 2026, 12:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ed338f48190a8a7280f7d2b112c |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 5:03 a.m.