Triple
T15781221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sultan Daniyal Mirza |
E382619
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Hussain |
E303381
|
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: Hussain | Statement: [Sultan Daniyal Mirza, sibling, Hussain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hussain Context triple: [Sultan Daniyal Mirza, sibling, Hussain]
-
A.
Hussain
chosen
Hussain is a common given name and surname of Arabic origin, widely used in Muslim communities around the world.
-
B.
Hassanali
Hassanali is a surname most notably associated with Noor Hassanali, the former President of Trinidad and Tobago.
-
C.
Habib
Habib is a masculine given name of Arabic origin commonly used in North Africa and the Middle East.
-
D.
Suhail
Suhail is the Arabic name for Canopus, the second-brightest star in the night sky and a key navigational star historically used by Arab sailors and desert travelers.
-
E.
Hussaini
Hussaini is a small, picturesque village in Pakistan’s Hunza Valley, best known for its dramatic mountain scenery and the famous, vertigo-inducing Hussaini suspension bridge.
- 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_69d86da09a10819082fe9797b23e4664 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05400716881909bc43212c8ea54d5 |
completed | April 16, 2026, 3:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb59779788190a393237f5293fe8d |
completed | May 9, 2026, 10:30 p.m. |
Created at: April 10, 2026, 4:48 a.m.