Triple

T30263867

Position	Surface form	Disambiguated ID	Type / Status
Subject	বনলতা সেন	`E769578`	entity
Predicate	প্রধান_চরিত্র	`P32529`	FINISHED
Object	ক্লান্ত পথিক ক্লান্ত পথিক হল জীবনানন্দ দাশের বিখ্যাত কবিতা ‘বনলতা সেন’-এ দীর্ঘ ভ্রমণে ক্লান্ত, শান্তি ও আশ্রয়ের সন্ধানী এক প্রতীকী যাত্রীচরিত্র।	`E1906801`	NE FINISHED

How this triple was built (3 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: ক্লান্ত পথিক | Statement: [বনলতা সেন, প্রধান_চরিত্র, ক্লান্ত পথিক]

NEDg Description generation gpt-5.1

Instruction

Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"

Input

Entity: ক্লান্ত পথিক
Triple: [বনলতা সেন, প্রধান_চরিত্র, ক্লান্ত পথিক]

Generated description

ক্লান্ত পথিক হল জীবনানন্দ দাশের বিখ্যাত কবিতা ‘বনলতা সেন’-এ দীর্ঘ ভ্রমণে ক্লান্ত, শান্তি ও আশ্রয়ের সন্ধানী এক প্রতীকী যাত্রীচরিত্র।

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: প্রধান_চরিত্র
Context triple: [বনলতা সেন, প্রধান_চরিত্র, ক্লান্ত পথিক]

A. character1
Indicates that the subject is identified as the first or primary character in a narrative or context.
B. laterMainCharacterOf
Indicates that one entity becomes the main character of a work at a later point in time, succeeding another main character.
C. protagonistIs chosen
Indicates that one entity serves as the main character or central figure in relation to another entity or narrative context.
D. protagonistType
Indicates the role or category that the main character (protagonist) of a story or scenario belongs to.
E. 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).
F. None of above.

Provenance (6 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_69f22484a5f48190b678cd607700bc82`	completed	April 29, 2026, 3:32 p.m.
NER	Named-entity recognition	`batch_69f680ab3ba481908d75676fef98820f`	completed	May 2, 2026, 10:54 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a27645fbe1c8190bb5b87e0680bd0fa`	completed	June 9, 2026, 12:54 a.m.
NEDg	Description generation	`batch_6a27682a252c81909dd4146f9acbd77f`	completed	June 9, 2026, 1:11 a.m.
NED2	Entity disambiguation (via description)	`batch_6a2768d8683c8190afb8c6880178c7bf`	completed	June 9, 2026, 1:14 a.m.
PD	Predicate disambiguation	`batch_69f6760216108190bbb708d53a6c2c25`	completed	May 2, 2026, 10:09 p.m.

Created at: April 29, 2026, 7:42 p.m.