Triple
T7429406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metin Feyzioğlu |
E171449
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Feyzioğlu |
E171449
|
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: Feyzioğlu | Statement: [Metin Feyzioğlu, familyName, Feyzioğlu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Feyzioğlu Context triple: [Metin Feyzioğlu, familyName, Feyzioğlu]
-
A.
İhsanoğlu
İhsanoğlu is a Turkish surname most prominently associated with Ekmeleddin İhsanoğlu, a Turkish academic, diplomat, and former Secretary-General of the Organisation of Islamic Cooperation.
-
B.
Metin Feyzioğlu
chosen
Metin Feyzioğlu is a prominent Turkish lawyer, academic, and former president of the Union of Turkish Bar Associations.
-
C.
Gündoğdu
Gündoğdu is a small settlement located on Marmara Island in northwestern Turkey.
-
D.
Güntekin
Güntekin is the surname of the renowned Turkish novelist and playwright Reşat Nuri, best known for works such as "Çalıkuşu."
-
E.
Nur Fettahoğlu
Nur Fettahoğlu is a Turkish-German actress best known for her role in the historical television series "Muhteşem Yüzyıl" ("Magnificent Century").
- 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_69c68a63491881909281f73d4d5643bf |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f3082f188190af5673d18ac7e87e |
completed | March 27, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c845f0ddfc8190a3070205d7124c6c |
completed | March 28, 2026, 9:19 p.m. |
Created at: March 27, 2026, 3:12 p.m.