Triple
T7430965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jasimuddin |
E171486
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jasimuddin |
E171486
|
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: Jasimuddin | Statement: [Jasimuddin, name, Jasimuddin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jasimuddin Context triple: [Jasimuddin, name, 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.
Abdul Khalek
Abdul Khalek is the given name of Abdul Khalek Hassouna, an Egyptian diplomat who served as Secretary-General of the Arab League.
-
E.
Naimul Karim
Naimul Karim is one of the children of Jawed Karim, the computer scientist and co-founder of YouTube.
- 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_69c68a63491881909281f73d4d5643bf |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f324afac8190b34fcac95fd57410 |
completed | March 27, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81f187f5081909d171835278c035c |
completed | March 28, 2026, 6:34 p.m. |
Created at: March 27, 2026, 3:12 p.m.