Triple
T19733405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huseyn Shaheed Suhrawardy |
E473911
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Huseyn |
E308036
|
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: Huseyn | Statement: [Huseyn Shaheed Suhrawardy, givenName, Huseyn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huseyn Context triple: [Huseyn Shaheed Suhrawardy, givenName, Huseyn]
-
A.
Huseyn
chosen
Huseyn is a given name of Arabic origin, commonly used in various Muslim-majority cultures as a variant of the name Hussein.
-
B.
Hassanali
Hassanali is a surname most notably associated with Noor Hassanali, the former President of Trinidad and Tobago.
-
C.
Hüseyin
Hüseyin is a common Turkish male given name of Arabic origin, widely used in Turkey and other Muslim-majority regions.
-
D.
Faruk
Faruk is a central character in Orhan Pamuk’s novel "Silent House," representing one of the intertwined perspectives that explore family tensions and Turkey’s social and political transformations.
-
E.
Mustafa
Mustafa is the given birth name of Mustafa Kemal Atatürk, the founder and first president of the Republic of Turkey.
- 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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6515b4d308190af3be1787fa7c65b |
completed | April 20, 2026, 4:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07b4f4e1e081908fca0b6513bb3bbb |
completed | May 16, 2026, 12:06 a.m. |
Created at: April 10, 2026, 1:47 p.m.