Triple
T17942228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Sabahaddin |
E448613
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Sabahaddin
Sabahaddin is a Turkish given name and surname most notably associated with Prince Sabahaddin, an influential Ottoman liberal thinker and political activist.
|
E1301205
|
NE FINISHED |
How this triple was built (4 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: Sabahaddin | Statement: [Prince Sabahaddin, familyName, Sabahaddin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sabahaddin Context triple: [Prince Sabahaddin, familyName, Sabahaddin]
-
A.
Bekir
Bekir is a common Turkish male given name of Arabic origin, often associated with early Islamic history and frequently borne by notable figures in Turkey.
-
B.
Şefik
Şefik is the given name of the prominent Ottoman statesman and reformer Midhat Pasha, a key architect of the Ottoman constitution of 1876.
-
C.
Sadi Irmak
Sadi Irmak was a Turkish physician, academic, and politician who briefly served as Prime Minister of Turkey in the mid-1970s.
-
D.
Mahmut
Mahmut is a masculine given name commonly used in Turkish and related cultures, derived from the Arabic name Mahmoud.
-
E.
Kadir
Kadir is a masculine given name of Turkish origin commonly used in Turkey and among Turkish-speaking communities.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sabahaddin Triple: [Prince Sabahaddin, familyName, Sabahaddin]
Generated description
Sabahaddin is a Turkish given name and surname most notably associated with Prince Sabahaddin, an influential Ottoman liberal thinker and political activist.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sabahaddin Target entity description: Sabahaddin is a Turkish given name and surname most notably associated with Prince Sabahaddin, an influential Ottoman liberal thinker and political activist.
-
A.
Bekir
Bekir is a common Turkish male given name of Arabic origin, often associated with early Islamic history and frequently borne by notable figures in Turkey.
-
B.
Şefik
Şefik is the given name of the prominent Ottoman statesman and reformer Midhat Pasha, a key architect of the Ottoman constitution of 1876.
-
C.
Sadi Irmak
Sadi Irmak was a Turkish physician, academic, and politician who briefly served as Prime Minister of Turkey in the mid-1970s.
-
D.
Mahmut
Mahmut is a masculine given name commonly used in Turkish and related cultures, derived from the Arabic name Mahmoud.
-
E.
Kadir
Kadir is a masculine given name of Turkish origin commonly used in Turkey and among Turkish-speaking communities.
- F. None of above. chosen
Provenance (5 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4ad96a9008190867fac99588c43cf |
completed | April 19, 2026, 10:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03431207188190ad886bfd390a7358 |
completed | May 12, 2026, 3:11 p.m. |
| NEDg | Description generation | batch_6a03445913088190b8662601da93a3ab |
completed | May 12, 2026, 3:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a034517f4148190864d916f4d1ef5ba |
completed | May 12, 2026, 3:19 p.m. |
Created at: April 10, 2026, 10:21 a.m.