Triple
T5927731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Selim II |
E131855
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Selim |
E444169
|
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: Selim | Statement: [Selim II, givenName, Selim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Selim Context triple: [Selim II, givenName, Selim]
-
A.
Selim
chosen
Selim is the passionate and ill-fated protagonist of Lord Byron’s narrative poem "The Bride of Abydos."
-
B.
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.
-
C.
Suleyman
Suleyman is a surname most prominently associated with Mustafa Suleyman, a British artificial intelligence entrepreneur and co-founder of DeepMind.
-
D.
Mehmed Selim
Mehmed Selim was an Ottoman prince, the son of Sultan Abdul Hamid II, who lived during the late period of the Ottoman Empire.
-
E.
Suleyman Shah
Suleyman Shah was a semi-legendary 12th–13th century Turkic tribal leader regarded in Ottoman tradition as the grandfather of Osman I, the founder of the Ottoman Empire.
- 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_69c0085b75e88190a632f9691f9da48b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0385592b48190a885efb9549d88c7 |
completed | March 22, 2026, 6:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c712707de88190b408ab01dd025954 |
completed | March 27, 2026, 11:27 p.m. |
Created at: March 22, 2026, 4 p.m.