Triple
T4137547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tevfik Fikret |
E89191
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Tevfik |
E417552
|
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: Tevfik | Statement: [Tevfik Fikret, givenName, Tevfik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tevfik Context triple: [Tevfik Fikret, givenName, Tevfik]
-
A.
Mehmet Tevfik
chosen
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.
-
B.
Fevzi Çakmak
Fevzi Çakmak was a prominent Turkish field marshal and statesman who played a key leadership role in the Turkish War of Independence and the early years of the Republic of Turkey.
-
C.
Mehmet Ragif
Mehmet Ragif is the birth name of Mehmet Akif Ersoy, the renowned Turkish poet, writer, and author of the Turkish National Anthem.
-
D.
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.
-
E.
Kerim Bey
Kerim Bey is a charismatic and resourceful MI6 ally in the James Bond series, best known for assisting Bond in Istanbul in the film and novel "From Russia, with Love."
- 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_69aed95785788190ae75bcf0cd1cafdf |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02345c2c819090a9db6b375a7fc7 |
completed | March 9, 2026, 5:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5960b5e2c8190af8ced12974911ef |
completed | March 14, 2026, 5:08 p.m. |
Created at: March 9, 2026, 3:43 p.m.