Triple
T27490291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shrabon Prokashani |
E693862
|
entity |
| Predicate | hasNotableBangladeshiWriter |
P10455
|
FINISHED |
| Object | Humayun Azad |
—
|
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: Humayun Azad | Statement: [Shrabon Prokashani, hasNotableBangladeshiWriter, Humayun Azad]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableBangladeshiWriter Context triple: [Shrabon Prokashani, hasNotableBangladeshiWriter, Humayun Azad]
-
A.
hasNotableWriter
chosen
Indicates that an entity is associated with a writer who is recognized as significant or distinguished in some notable way.
-
B.
hasNotableAuthorWork
Indicates that an author is notably associated with creating a particular work.
-
C.
notWrittenBy
Indicates that a specified work or content is explicitly not authored or created by a given entity.
-
D.
hasWriterOfWork
Indicates that a person or entity is the writer/author who created a particular work (such as a book, article, or script).
-
E.
writtenByNobelLaureate
Indicates that the work or document was authored by a person who has received a Nobel Prize.
- F. None of above.
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_69ef5382b9648190be0b1ef2ad5d043c |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69fe8f74748c8190bd14a856c057f9f7 |
completed | May 9, 2026, 1:35 a.m. |
| PD | Predicate disambiguation | batch_69fe8e7ed8088190929e0df67aca4de9 |
completed | May 9, 2026, 1:31 a.m. |
Created at: April 27, 2026, 1:04 p.m.