Triple
T19735743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alaeddin |
E473974
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Orhan |
—
|
NE NERFINISHED |
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: Orhan | Statement: [Alaeddin, sibling, Orhan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orhan Context triple: [Alaeddin, sibling, Orhan]
-
A.
Orhan
chosen
Orhan was the second ruler of the early Ottoman state who significantly expanded its territories in northwestern Anatolia and laid foundations for its future imperial structure.
-
B.
Şehzade Orhan
Şehzade Orhan was an Ottoman prince, the son of Şehzade Mustafa and a member of the Ottoman imperial dynasty.
-
C.
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.
-
D.
Fuat
Fuat is a Turkish masculine given name commonly borne by notable figures in politics, academia, and the arts.
-
E.
Cevdet
Cevdet is a masculine given name of Turkish origin, borne by several notable figures in Turkey’s political and cultural history.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6515ddea881909ea831b7bc16d934 |
completed | April 20, 2026, 4:16 p.m. |
Created at: April 10, 2026, 1:47 p.m.