Triple
T7087193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Süleyman Demirel |
E165105
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Süleyman
Süleyman is a Turkish masculine given name most famously borne by Süleyman Demirel, a long-serving prime minister and president of Turkey.
|
E659548
|
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: Süleyman | Statement: [Süleyman Demirel, givenName, Süleyman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Süleyman Context triple: [Süleyman Demirel, givenName, Süleyman]
-
A.
Suleyman
Suleyman is a surname most prominently associated with Mustafa Suleyman, a British artificial intelligence entrepreneur and co-founder of DeepMind.
-
B.
Süleyman Çelebi
Süleyman Çelebi was an early 15th-century Ottoman prince who ruled parts of Anatolia and Rumelia during the Ottoman Interregnum following the defeat of his father Bayezid I.
-
C.
Suleiman
Suleiman was an 11th-century Seljuk prince and founder of the Sultanate of Rum in Anatolia.
-
D.
Selim
Selim is the passionate and ill-fated protagonist of Lord Byron’s narrative poem "The Bride of Abydos."
-
E.
Selim I
Selim I was a 16th-century Ottoman sultan who dramatically expanded the empire by conquering the Mamluk Sultanate and bringing the holy cities of Mecca and Medina under Ottoman control.
- 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: Süleyman Triple: [Süleyman Demirel, givenName, Süleyman]
Generated description
Süleyman is a Turkish masculine given name most famously borne by Süleyman Demirel, a long-serving prime minister and president of Turkey.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Süleyman Target entity description: Süleyman is a Turkish masculine given name most famously borne by Süleyman Demirel, a long-serving prime minister and president of Turkey.
-
A.
Suleyman
Suleyman is a surname most prominently associated with Mustafa Suleyman, a British artificial intelligence entrepreneur and co-founder of DeepMind.
-
B.
Süleyman Çelebi
Süleyman Çelebi was an early 15th-century Ottoman prince who ruled parts of Anatolia and Rumelia during the Ottoman Interregnum following the defeat of his father Bayezid I.
-
C.
Suleiman
Suleiman was an 11th-century Seljuk prince and founder of the Sultanate of Rum in Anatolia.
-
D.
Selim
Selim is the passionate and ill-fated protagonist of Lord Byron’s narrative poem "The Bride of Abydos."
-
E.
Selim I
Selim I was a 16th-century Ottoman sultan who dramatically expanded the empire by conquering the Mamluk Sultanate and bringing the holy cities of Mecca and Medina under Ottoman control.
- 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_69c6887d98408190912b9580666b0c1d |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e513d9b08190a8a8d213c2264ce4 |
completed | March 27, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802a126e081908ca3074b636764d1 |
completed | March 28, 2026, 4:32 p.m. |
| NEDg | Description generation | batch_69c8032a62a08190a047d4945543bc6c |
completed | March 28, 2026, 4:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8039fce888190bbda8cdaa041310c |
completed | March 28, 2026, 4:36 p.m. |
Created at: March 27, 2026, 2:41 p.m.