Triple
T16662962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garip movement |
E404904
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Oktay Rifat |
E409856
|
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: Oktay Rifat | Statement: [Garip movement, hasPart, Oktay Rifat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oktay Rifat Context triple: [Garip movement, hasPart, Oktay Rifat]
-
A.
Oktay Rifat
chosen
Oktay Rifat was a prominent Turkish poet, playwright, and novelist, best known as one of the leading figures of the Garip movement that revolutionized modern Turkish poetry.
-
B.
Metin Oktay
Metin Oktay was a legendary Turkish footballer, best known as a prolific striker and iconic figure for Galatasaray and the Turkish national team in the 1950s and 1960s.
-
C.
Şefik Birkiye
Şefik Birkiye is a Turkish-Belgian architect known for designing large-scale governmental and institutional buildings, including Turkey’s Presidential Complex in Ankara.
-
D.
Tevfik Akdağ
Tevfik Akdağ was a Turkish poet associated with the İkinci Yeni (Second New) movement, known for his modernist and experimental approach to poetry.
-
E.
Metin Feyzioğlu
Metin Feyzioğlu is a prominent Turkish lawyer, academic, and former president of the Union of Turkish Bar Associations.
- 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37c99efa8819096c6325ff4898bd7 |
completed | April 18, 2026, 12:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0180bf3d308190b4965d57fe327a52 |
completed | May 11, 2026, 7:09 a.m. |
Created at: April 10, 2026, 5:18 a.m.