Triple
T22657515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Şenol Güneş |
E559267
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Şenol |
—
|
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: Şenol | Statement: [Şenol Güneş, givenName, Şenol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Şenol Context triple: [Şenol Güneş, givenName, Şenol]
-
A.
Şahinkaya
Şahinkaya is a village located on the island of İmroz (Gökçeada) in Turkey’s Aegean Sea region.
-
B.
Şenol Güneş
chosen
Şenol Güneş is a Turkish football manager and former goalkeeper best known for leading Turkey to third place at the 2002 FIFA World Cup and for his successful spells in charge of top club Beşiktaş.
-
C.
Gürsel
Gürsel is a Turkish surname most notably associated with Cemal Gürsel, a military leader and the fourth President of Turkey.
-
D.
Güntekin
Güntekin is the surname of the renowned Turkish novelist and playwright Reşat Nuri, best known for works such as "Çalıkuşu."
-
E.
Gökhan
Gökhan is a masculine given name of Turkish origin commonly used in Turkey and among Turkish communities.
- 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_69e245489dd88190b1f674acf61c8769 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1765c62bc8190b3fcde76d6b6dfb6 |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 3:06 p.m.