Triple
T33925348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | বিনয় |
E869733
|
entity |
| Predicate | প্রধান_চরিত্রের_সহচর |
P7748
|
FINISHED |
| Object | গোরা |
—
|
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: গোরা | Statement: [বিনয়, প্রধান_চরিত্রের_সহচর, গোরা]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: প্রধান_চরিত্রের_সহচর Context triple: [বিনয়, প্রধান_চরিত্রের_সহচর, গোরা]
-
A.
characters
Indicates that one entity is a character (or set of characters) associated with, appearing in, or belonging to another entity (such as a work, story, or medium).
-
B.
supportingCharacter
chosen
Indicates that one entity plays a secondary or assisting role in the story or context relative to another primary entity.
-
C.
mainCharactersAre
Indicates that the specified entities serve as the primary or central characters in a narrative or work.
-
D.
relatedCharacter
Indicates that one character has a specified relationship or association with another character.
-
E.
hasMainCharacterFrom
Indicates that a work of fiction has a main character who originates from or belongs to a specified place, group, or source.
- 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_69f7064e906881909c3186c646145d34 |
completed | May 3, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69f70100ec1c8190a6b97f50e88891f2 |
completed | May 3, 2026, 8:02 a.m. |
Created at: May 1, 2026, 1:49 a.m.