Triple
T12587919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sulley Muntari |
E300516
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Suleyman |
E659548
|
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: Suleyman | Statement: [Sulley Muntari, givenName, Suleyman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suleyman Context triple: [Sulley Muntari, givenName, Suleyman]
-
A.
Suleyman
Suleyman is a surname most prominently associated with Mustafa Suleyman, a British artificial intelligence entrepreneur and co-founder of DeepMind.
-
B.
Süleyman
chosen
Süleyman is a Turkish masculine given name most famously borne by Süleyman Demirel, a long-serving prime minister and president of Turkey.
-
C.
Suleiman
Suleiman was an 11th-century Seljuk prince and founder of the Sultanate of Rum in Anatolia.
-
D.
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.
-
E.
Selim
Selim is the passionate and ill-fated protagonist of Lord Byron’s narrative poem "The Bride of Abydos."
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954bbe72c8190aa11090bb6b480c9 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f668656d5c819098f9824febf79712 |
completed | May 2, 2026, 9:11 p.m. |
Created at: April 9, 2026, 5:05 p.m.