Triple
T21233015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muhteşem Yüzyıl |
E523271
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object | Durul Taylan |
—
|
NE NERFINISHED |
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: Durul Taylan | Statement: [Muhteşem Yüzyıl, director, Durul Taylan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Durul Taylan Context triple: [Muhteşem Yüzyıl, director, Durul Taylan]
-
A.
Mümtaz Turhan
Mümtaz Turhan was a prominent Turkish social psychologist and academic known for his influential work on cultural change, modernization, and education in Turkey.
-
B.
Yağmur Taylan
chosen
Yağmur Taylan is a Turkish film and television director best known as one half of the Taylan Brothers duo behind several acclaimed series and films.
-
C.
Sercan
Sercan is a Turkish given name commonly used for males.
-
D.
Turan Melek
Turan Melek was a medieval Anatolian princess and benefactress known for commissioning the renowned Divriği Great Mosque and Hospital complex in present-day Turkey.
-
E.
Kanli Koca
Kanli Koca is a legendary figure from Turkic epic tradition, known primarily as the father of the hero Kan Turali in the tales of the Dede Korkut.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b512ad94819087942b2ed925185f |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e734b1524c8190a77eaf2fabd601c3 |
completed | April 21, 2026, 8:26 a.m. |
Created at: April 16, 2026, 3:45 p.m.