Triple
T7351890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Humayun Ahmed |
E169520
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Meher Afroz Shaon |
E584643
|
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: Meher Afroz Shaon | Statement: [Humayun Ahmed, spouse, Meher Afroz Shaon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meher Afroz Shaon Context triple: [Humayun Ahmed, spouse, Meher Afroz Shaon]
-
A.
Meher Afroz Shaon
chosen
Meher Afroz Shaon is a Bangladeshi actress, director, and television personality known for her work in drama and film as well as her collaborations with writer-director Humayun Ahmed.
-
B.
Sarai Alamgir
Sarai Alamgir is a town in Punjab, Pakistan, situated along the Jhelum River and known for its strategic location on the historic Grand Trunk Road.
-
C.
Wafa Begum
Wafa Begum was a queen consort of the Durrani Empire as the wife of Afghan ruler Shuja Shah Durrani.
-
D.
Qudsia Begum
Qudsia Begum was a Mughal royal consort and influential matriarch best known as the mother of Emperor Akbar II.
-
E.
Jani Begum
Jani Begum was a Mughal royal consort known primarily as the wife of Emperor Azam Shah, son of Aurangzeb.
- 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_69c68a5878888190968ce4d04db8d69f |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f10b4adc81909a5a0eacaf2b1887 |
completed | March 27, 2026, 9:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7fa99a9148190b67e49c8c8674042 |
completed | March 28, 2026, 3:58 p.m. |
Created at: March 27, 2026, 3:05 p.m.