Triple
T20457418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faridpur |
E501827
|
entity |
| Predicate | hasNotablePerson |
P304
|
FINISHED |
| Object | Jasimuddin |
—
|
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: Jasimuddin | Statement: [Faridpur, hasNotablePerson, Jasimuddin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jasimuddin Context triple: [Faridpur, hasNotablePerson, Jasimuddin]
-
A.
Jasimuddin
chosen
Jasimuddin was a renowned Bengali poet and folklorist celebrated for his vivid depictions of rural Bengal and its people.
-
B.
Khaliquzzaman
Khaliquzzaman was a prominent South Asian Muslim politician and leader active during the Indian independence movement and the early years of Pakistan.
-
C.
Jahangir Mohammed
Jahangir Mohammed is a technology entrepreneur best known as the founder of Jasper Technologies, a leading platform for managing Internet of Things (IoT) services.
-
D.
Faysal
Faysal is a male given name of Arabic origin, commonly used in the Middle East and among Arabic-speaking communities.
-
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_69e0b4ad4940819098cf2ff6413574e5 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e696a2a8a88190992211b09295d8ea |
completed | April 20, 2026, 9:12 p.m. |
Created at: April 16, 2026, 11:33 a.m.