Triple
T23265948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tevfik Esenç |
E588147
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Tevfik |
—
|
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: Tevfik | Statement: [Tevfik Esenç, givenName, Tevfik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tevfik Context triple: [Tevfik Esenç, givenName, Tevfik]
-
A.
Tevfik
chosen
Tevfik is a central fictional character in the classic Turkish novel "Sinekli Bakkal" by Halide Edib Adıvar.
-
B.
Mehmet Reşit
Mehmet Reşit was an Ottoman politician and physician associated with the Young Turk movement and the Committee of Union and Progress.
-
C.
Necati Bey
Necati Bey was a prominent Turkish educator and intellectual whose legacy in advancing teacher training and education in Turkey is commemorated by institutions bearing his name.
-
D.
Mahmut Celâl
Mahmut Celâl is the given name of Celâl Bayar, a prominent Turkish statesman who served as the third President of Turkey.
-
E.
Mehmet Tevfik
Mehmet Tevfik, better known by his pen name Tevfik Fikret, was a prominent late Ottoman-era Turkish poet and a leading figure of modern Turkish literature.
- 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_69e25d148adc819088efbf42672604e9 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f194cc3b908190aaefd036aa2b52b5 |
completed | April 29, 2026, 5:19 a.m. |
Created at: April 17, 2026, 4:35 p.m.