Triple
T13769214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adnan Adıvar |
E330831
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Halide Edib Adıvar |
E81912
|
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: Halide Edib Adıvar | Statement: [Adnan Adıvar, spouse, Halide Edib Adıvar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Halide Edib Adıvar Context triple: [Adnan Adıvar, spouse, Halide Edib Adıvar]
-
A.
Halide Edib Adıvar
chosen
Halide Edib Adıvar was a pioneering Turkish novelist, feminist, and nationalist intellectual whose works and activism significantly shaped early 20th-century Turkish literature and public life.
-
B.
Hidayet Karaca
Hidayet Karaca is a Turkish media executive best known as the former head of the Samanyolu Broadcasting Group and a prominent figure associated with the Gülen movement.
-
C.
Orhan Arda
Orhan Arda was a Turkish architect best known as one of the designers of Anıtkabir, the mausoleum of Mustafa Kemal Atatürk in Ankara.
-
D.
Adnan Adıvar
Adnan Adıvar was a Turkish physician, politician, writer, and historian of science who played a significant role in the early years of the Turkish Republic.
-
E.
Oktay Caglar
Oktay Caglar is an entrepreneur best known as one of the co-founders of the online learning platform Udemy.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0233ecc48190b934f085d2501eb1 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8d28cc88190af46b86473af0a1c |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 10:10 p.m.