Triple
T33925377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | পৈরীমোহন |
E869734
|
entity |
| Predicate | সম্পর্কিত_লেখক |
P111975
|
FINISHED |
| Object | রবীন্দ্রনাথ ঠাকুর |
—
|
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: রবীন্দ্রনাথ ঠাকুর | Statement: [পৈরীমোহন, সম্পর্কিত_লেখক, রবীন্দ্রনাথ ঠাকুর]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: সম্পর্কিত_লেখক Context triple: [পৈরীমোহন, সম্পর্কিত_লেখক, রবীন্দ্রনাথ ঠাকুর]
-
A.
relatedToAuthorWork
chosen
Indicates that there is a connection or association between an author and a work they have created, contributed to, or are otherwise linked with.
-
B.
writtenByRelativeOfSubject
Indicates that the object was written by a person who is a relative of the subject.
-
C.
subjectRelationToAuthor
Indicates the relationship or connection that the subject has to the author.
-
D.
authorOfCompanionWork
Indicates that one entity is the creator or writer of another entity that serves as a companion or supplementary work to a primary work.
-
E.
authorOfWorkAbout
Indicates that one entity is the author or creator of a work whose subject or content is about another entity.
- 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_69f349992c508190aa4afa24a086cc8c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f70fb4f18c819099ef6d9177b7d205 |
completed | May 3, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69f70f3a54d481909ba6bdda3647b761 |
completed | May 3, 2026, 9:02 a.m. |
Created at: May 1, 2026, 1:49 a.m.