Triple
T21684506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muzharul Islam |
E535195
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Muzharul |
—
|
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: Muzharul | Statement: [Muzharul Islam, givenName, Muzharul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muzharul Context triple: [Muzharul Islam, givenName, Muzharul]
-
A.
Jasimuddin
Jasimuddin was a renowned Bengali poet and folklorist celebrated for his vivid depictions of rural Bengal and its people.
-
B.
Muzharul Islam
chosen
Muzharul Islam was a pioneering Bangladeshi modernist architect and urban planner whose work and vision profoundly shaped the architectural identity of Bangladesh.
-
C.
Khaliquzzaman
Khaliquzzaman was a prominent South Asian Muslim politician and leader active during the Indian independence movement and the early years of Pakistan.
-
D.
Mazhar
Mazhar is a masculine given name of Arabic origin commonly used in Turkey and several other Muslim-majority countries.
-
E.
Abdul Khalek
Abdul Khalek is the given name of Abdul Khalek Hassouna, an Egyptian diplomat who served as Secretary-General of the Arab League.
- 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_69e0c469b6ec8190aee4cadd1527db91 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef96ca668481909f53853c7a8ea811 |
completed | April 27, 2026, 5:03 p.m. |
Created at: April 16, 2026, 6:44 p.m.